Total 136 researcher job vacancies in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

Role Overview: We are seeking a highly driven and technically proficient DeFi Researcher to join our team. This role is perfect for someone who is passionate about discovering new protocols, analyzing their intricacies, and providing timely insights to keep us ahead of the curve. Your proactive approach, deep technical understanding, and passion for DeFi will help shape our strategic decisions and guide our engagement with the broader ecosystem.

Key Responsibilities:

Proactive Market Monitoring:

• Actively monitor the DeFi ecosystem to uncover emerging trends, protocols, and narratives before they become widely recognized.
• Consistently bring valuable insights to the team without needing prompts or direction.

Protocol Analysis:

• Deeply analyze the technical mechanisms of protocols to assess their legitimacy, sustainability, and alignment.
• Identify potential risks or vulnerabilities in protocols under evaluation.

Idea Generation:

• Propose forward-thinking ideas and strategies to capitalize on market opportunities or solve industry pain points.
• Act as a sounding board for innovative concepts.

Partnership Research:

• Investigate potential synergies with other DeFi protocols and provide detailed evaluations for strategic collaborations.

Knowledge Sharing:

• Serve as an "oracle" for the team by consistently providing timely, actionable insights and reports.
• Educate the team on complex mechanisms and emerging opportunities within DeFi.

Qualifications:

Technical Expertise:

• Deep technical understanding of DeFi protocols and blockchain systems.
• Ability to evaluate the intricacies of protocol mechanisms and identify their feasibility, legitimacy, or potential risks.

Proactive and Resourceful:

• A self-starter who actively seeks out knowledge and delivers insights before being asked.
• Relentless curiosity and a genuine passion for discovering and analyzing new protocols and trends.

DeFi Ecosystem Knowledge:

• Extensive understanding of the DeFi landscape, including key players, trends, and underlying technologies.
• Familiarity with yield-trading mechanics is a plus.

Analytical and Problem-Solving Skills:

• Ability to distill complex information into clear, actionable insights and recommendations.
• Strong attention to detail and a keen ability to detect potential scams or technical flaws.

Communication Skills:

• Exceptional written and verbal communication skills to effectively share findings with technical and non-technical audiences.

Preferred Skills:

• Previous experience in a similar research-focused role within the DeFi or broader blockchain space.
• A robust network within the Web3 ecosystem.
• Demonstrated track record of discovering and analyzing DeFi protocols before they gained market attention.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

Location: Singapore

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world. Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to augment our systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.

Responsibilities:

Model development

• Drive the development of Squarepoint Asian Base Metal (S&D) balances:
  • Keep track of S&D imbalances and explore the sources of those imbalances.
  • Connect and collaborate with Squarepoint’s metal desk in London to integrate data and findings into the desk view. A particular emphasis should be put on traditional demand drivers and energy transition demand.
  • Create models and scenarios stressing S&D variables and one-off events.
• Onboard new sources of fundamental data for the development and improvement of supply demand models, trade flow matrices and cash markets monitoring. A particular emphasis will be put on industrial and demand data for China and the rest of Asia.
• Carry systematic surveys with our physical business counterparts and integrate results within Squarepoint technical infrastructure.

Model monitoring

• Monitor skill of S&D against realized inventories.
• Monitor model inputs to ensure that model results are always to industry-leading standards.
• Monitor changing regulatory environment to include updates into models.

Analysis and trade recommendations

• Participate in industry events and field trips to follow trends and developments.
• Drive fundamental risk modeling of existing trading positions from model.
• Propose, support and follow trade deas centered around base metals:
  • Generate/update fundamental dashboards on demand or the trading team.
  • Record and track trade ideas through Squarepoint dedicated system.
• Work with the extended research team to synthesize in-house S&Ds forecasts and monitor trade ideas.
• Conduct analysis on Asia regional S&D, end-user forecast, trade flow etc

Requirements:

· Strong understanding of Copper in Asia and detailed related SnD balance. Knowledge of Aluminum, Iron Ore and/or Nickel fundamentals in Asia is a plus.

· Specific focus on demand drivers as well as smelting/refining and semi-manufacturing dynamics is a plus.

· Strong expertise in fundamental analysis framework

· Solid existing network with Chinese base metal industrials (including on site visits). Knowledge of local vendors is a plus.

· Experience in top miner, physical trader and investment fund

· Good documentation skills (able to properly document models).

· Desire to interact with traders and other analysts on a frequent basis.

· Fluent in Mandarin and English.

NEU Battery Materials is a lithium-ion battery recycling startup. We are building the world's first electrochemical process for battery recycling and we target batteries such as those in our electric cars. We hope that we can create a sustainable future for everyone, by providing an end of life solution to these batteries. We are currently building and operating our plant in Singapore and we look forward to welcoming additional team members to join us in our fight against climate change.

We are looking for electrochemical researchers who have experience in any of these areas; redox flow process, fuel cell, vanadium flow batteries, electrolyzers.

Job scope:

1. Further research and development of NEU's lithium recycling system
2. Preparation for and operation of recycling system
3. Responsible for recycling process optimization
4. Work on material testing and chemical analysis using various lab testing equipment
5. Manage a series of prototypes for various experiments

Requirements:

1. PhD or MS/BS with direct experience in chemical engineering, chemistry, electrochemistry, materials science, or related field
2. 3+ years of experience in electrochemical systems, electrocatalysis, device design and component analysis (including graduate research)
3. A strong experimental background in fundamental and applied electrochemistry with demonstrated knowledge or expertise in electroanalytical and electrochemical cell characterization
4. Knowledge of electrode fabrication and material synthesis for electrocatalytic applications like hydrogen evolution/oxygen evolution/oxygen reduction/CO2RR reaction in alkaline media and process engineering, with understanding of physico-chemical properties of materials and/or knowledge of processes used in material synthesis and corresponding characterisation techniques

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Provide mentorship and guidance to new researchers in your main domain of research.
• Perform deep research to understand possible attack surface for an attacker to abuse to gain access to a target system.
• Reverse engineer and/or apply static and/or dynamic analysis techniques on applications to surface vulnerabilities.
• Develop cutting edge fuzzers and static/dynamic analysis tools to scale up the vulnerability discovery process.
• Keep abreast of the latest research in security research and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications:

• Demonstrated ability to perform the following tasks to find bugs in modern software, hardware, or mobile devices.

1. Perform attack surface analysis and prioritize areas to investigate for possible vulnerabilities.
2. Independently apply various vulnerability discovery techniques.
3. Discover and exploit vulnerabilities.

• Deep understanding of internals and common exploitation techniques for area of expertise (i.e. Windows, Android, Browser, …)
• Track record of having found security vulnerabilities in the last 4 years.

For a more senior role, we're looking for candidates who have track records in these areas:

• Consistency in discovering security-related vulnerabilities and demonstrating their impact .
• Performing research on Windows/Android/iOS/Linux Kernel or a complex application by a major vendor, applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
• Discovering and exploiting security vulnerabilities in Windows/Android/iOS/Linux Kernel or a complex application by a major vendor.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Mentor and guide new researchers in the area of Windows vulnerability research.
• Perform deep research into Windows and selected Windows applications to understand possible attack surface for an attacker to abuse.
• Reverse engineer and/or apply static and/or dynamic analysis techniques on closed source windows binaries to understand it’s inner workings and surface vulnerabilities.
• Modify and deploy custom fuzzers to surface vulnerabilities.
• Develop proof of concept to demonstrate the severity of the discovered vulnerability and propose mitigations.
• Develop cutting edge tools to improve and scale up the vulnerability discovery process.
• Keep abreast of the latest research into Windows security and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications

• Demonstrated ability to:

1. Perform attack surface analysis and prioritization of research on Windows.
2. Independently apply static/dynamic analysis techniques to find bugs
3. Discover and exploit vulnerabilities

• Deep understanding of Windows internals and common exploitation techniques for Windows applications/Windows Kernel
• Track record of having found security vulnerabilities on Windows in the last 4 years.

For a more senior role, we're looking for candidates who have track records in these areas:

• Consistency in discovering security-related vulnerabilities and demonstrating their impact.
• Performing research on Windows Kernel or a complex Windows application by a major vendor, applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
• Discovering and exploiting security vulnerabilities in Windows Kernel or a complex application by a major vendor.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Technical Leadership:

a. Recommend research directions, conceptualize new security tools, and mentor junior researchers.

b. Conduct internal training workshops on analysis techniques, vulnerabilities discovery, and mechanism.

• Research and Analysis:

a. Conduct in-depth research on applications, reverse engineer closed-source code, and identify exploitable weaknesses.

b. Continuously learn about the latest application security and reverse engineering techniques.

• Development:

a. Assess and verify security through design and execute tests against industry standards CIA triad: Confidentiality, Integrity, and Availability, plus Authorization and Non-repudiation).

b. Develop proof of concept (e.g. code, scripts) to demonstrate the severity of discovered vulnerabilities and propose mitigations.

c. Develop cutting-edge tools to streamline the analysis process and improve efficiency.

• Documentation and Reporting:

a. Document findings, methodologies, and recommendations for both technical staff and executive leadership.

b. Effectively communicate findings and strategy to stakeholders.

• Contribution:

a. Contribute to the Singapore cybersecurity community through publishing whitepapers, blog posts, or presenting findings at relevant conferences.

Minimum Qualifications

• Fluent in OOP such as C++, Windows or Linux APIs/syscalls and knowledge of common file formats, network protocols and encryption.
• - Demonstrated ability to:
• Reverse engineer C/C++ compiled binaries and recognize common algorithms and patterns in decompiled code.
• Perform type recovery on intermediate data structures and uncover logic and indirect calls within a module.
• Bypass common anti-RE and anti-debugging techniques and uncover original code obfuscated by a public obfuscator.
• - For a more senior role, we're looking for candidates who has the demonstrated ability to:
• Reverse engineer sophisticated software and other programs compiled in newer languages such as Golang, Rust, newer Pythons and non-C binaries.
• Recover complex code logic and indirect calls across multiple modules or files.
• Recover undocumented file format or encoded binaries through deep analysis of the program.
• Develop custom tools to recover the logic or emulate parts of the program.
• Uncover logic of heavily obfuscated or custom packed code.

Benefits

• Training & Development
• Performance Bonus
• Medical Benefits
• Hybrid Work Arrangements

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Technical Leadership:

a. Recommend research directions, conceptualize new security tools, and mentor junior researchers.

b. Conduct internal training workshops on analysis techniques, vulnerabilities discovery, and mechanism.

• Research and Analysis:

a. Conduct in-depth research on applications, reverse engineer closed-source code, and identify exploitable weaknesses.

b. Continuously learn about the latest application security and reverse engineering techniques.

• Development:

a. Assess and verify security through design and execute tests against industry standards CIA triad: Confidentiality, Integrity, and Availability, plus Authorization and Non-repudiation).

b. Develop proof of concept (e.g. code, scripts) to demonstrate the severity of discovered vulnerabilities and propose mitigations.

c. Develop cutting-edge tools to streamline the analysis process and improve efficiency.

• Documentation and Reporting:

a. Document findings, methodologies, and recommendations for both technical staff and executive leadership.

b. Effectively communicate findings and strategy to stakeholders.

• Contribution:

a. Contribute to the Singapore cybersecurity community through publishing whitepapers, blog posts, or presenting findings at relevant conferences.

Minimum Qualifications

• Fluent in OOP such as C++, Windows or Linux APIs/syscalls and knowledge of common file formats, network protocols and encryption.
• - Demonstrated ability to:
• Reverse engineer C/C++ compiled binaries and recognize common algorithms and patterns in decompiled code.
• Perform type recovery on intermediate data structures and uncover logic and indirect calls within a module.
• Bypass common anti-RE and anti-debugging techniques and uncover original code obfuscated by a public obfuscator.
• - For a more senior role, we're looking for candidates who has the demonstrated ability to:
• Reverse engineer sophisticated software and other programs compiled in newer languages such as Golang, Rust, newer Pythons and non-C binaries.
• Recover complex code logic and indirect calls across multiple modules or files.
• Recover undocumented file format or encoded binaries through deep analysis of the program.
• Develop custom tools to recover the logic or emulate parts of the program.
• Uncover logic of heavily obfuscated or custom packed code.

Benefits

• Training & Development
• Performance Bonus
• Medical Benefits
• Hybrid Work Arrangements

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

About Us:

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us:

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team:

The research team operates within the company, acting as internal consulting team and conducting research on economic and philosophical studies, global history and international affairs. The team tracks macro trends, and strives to develop deep, insightful knowledge and understandings about the global context of the company.

Responsibility:

- Provide analysis and recommendations through desk research;

- Build and maintain trustful cooperative relationships with scholars and researchers, academic institutions, and other relevant stakeholders;

- Draft reports for senior business leaders on topics of interest.

Qualifications

[Research, Reaching out, Teamwork ]

- Excellent ability to see the big picture of cultural and societal issues and deliver research outputs: the researcher will need to be able to provide in-depth and interdisciplinary research covering areas such as comparative cultural and philosophical studies, world civilizations and global affairs, and to identify their long-term implications for our company;

- Strong network in academic community: the expert will need to communicate with leading scholars and experts on related topics;

- Strong teamwork and communication skills: the expert will need to work with experts and staff in our company to complete research work;

- Growth mindset: the expert must be comfortable with trying new things and iterating and improving based on feedback;

- No specific academic background is required, but candidates for Philosophy, Politics and Economics (PPE) major, or having a similar extensive understanding of social sciences and humanities, are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [email protected].

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Perform deep research into selected applications to understand how they are designed and implemented.
• Reverse engineer or apply static and/or dynamic analysis techniques on closed source binaries to understand it’s inner workings.
• Identify weakness in systems or software that makes it possible for an attacker to abuse.
• Develop proof of concept to demonstrate the severity of the discovered vulnerability and propose mitigations.
• Develop cutting edge tools to improve and scale up the analysis process.
• Keep abreast of the latest research into application security research and reverse engineering techniques.

Minimum Qualifications:

• Software development experience in a general-purpose programming language for instance, Python
• Proficiency in C/C++, assembly (x86/64)

For a more senior role, we're looking for candidates who have:

• Competency in debugging, binary reverse engineering, bypassing of anti-RE and anti-debugging techniques.
• Experience in recognizing common algorithms and patterns (in line hashing function, obfuscator) in decompiled code and ability to perform type recovery on simple to intermediate data structures.
• Ability to apply public research materials to recover file format or encoded binaries.
• Participation in public disclosure of vulnerabilities, bug bounty programs or capture the flag (CTF) competitions.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

Investment Company of the People’s Republic of China (Singapore) Pte Ltd is a fully owned subsidiary of the People’s Bank of China. The company manages a part of foreign exchange reserve within the scope authorized by the People’s Bank of China, undertakes and transacts various kinds of investment businesses.

Job Description:

Your responsibilities will include, but not limited to:

• Monitor and analyze emerging market macroeconomic and financial market developments, focusing on key structural changes and trends.
• Conduct independent, in-depth research on selected topics, producing comprehensive macroeconomic reports.
• Provide strategic recommendations and analysis to guide the company’s investment strategy, adapting to market shifts and emerging trends.
• Develop and strengthen the macroeconomic research framework and strategic processes to enhance the company’s overall research capabilities.
• Demonstrate a strong ability to draft high-quality research reports in Chinese, ensuring clarity, accuracy, and insightful analysis.

Requirements:

• Possess strong financial acumen, coupled with exceptional analytical, strategic, and critical thinking abilities.
• Proven leadership skills, with a track record of inspiring teams and driving excellence.
• Exceptional interpersonal skills, capable of engaging and collaborating effectively across all organizational levels.
• Thrive in high-pressure environments, consistently meeting tight deadlines while maintaining quality.

The Research Department at INSEAD is currently seeking dedicated and talented Pre-Doctoral Researchers to join our pool of predocs in our campus in Singapore. The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. Candidates applying for positions based in Singapore need to already have authorization to work in Singapore. Besides resident positions, in certain cases, we might also offer part time remote positions on short term assignments.

As a Pre-Doctoral Researcher, you will have the opportunity to collaborate with leading professors in various academic areas, including Accounting (ACC), Decision Sciences (DSC), Entrepreneurship and Family Enterprise (EFE), Economics & Political Science (EPS), Finance (FIN), Marketing (MKT), Organisational Behaviour (OB), Strategy (STR) and Technology & Operations Management (TOM).

Position Overview:

This role is designed for exceptional final-year students or recent Master's graduates with an outstanding academic record and a genuine passion for research. Our ideal candidates are motivated individuals eager to enhance their research skills while working alongside renowned scholars, with the aim of pursuing a Ph.D. in the future. Previous Pre-Doctoral Researchers at INSEAD have successfully transitioned to Ph.D. programs at prestigious institutions such as INSEAD, Harvard, Stanford, Caltech, Columbia, Sciences Po, LSE, Stockholm School of Economics and others.

Ideal Candidate:

Our ideal candidate is someone who:

· Is completing a Bachelor's or Master's degree or has recently graduated from a top institution

· Has evidence of outstanding academic achievements and a strong quantitative or qualitative background (research work samples are a plus)

· Has a clear ambition to pursue a Ph.D. in the future

· Demonstrates proficiency in research tools and packages (R, Python, Matlab, SAS, Stata, SPSS, etc.)

· Excels in detail-oriented research tasks and data analysis

· Can work independently, manage timelines, and meet faculty expectations

· Possesses previous research experience and knowledge of econometrics (strong pluses)

· Is fluent in both written and spoken English

Responsibilities:

As a Pre-Doctoral Researcher your responsibilities will include:

· Assisting with quantitative and/or qualitative research projects across academic areas

· Brainstorming potential research questions

· Conducting academic literature searches and reviews

· Managing and analyzing data using software packages like R, Python, Matlab, SAS, Stata, SPSS, etc.

· Performing statistical data analysis, interpreting findings, and contributing to write-ups

· Designing and conducting experiments

How to Apply:

To apply for this position, please submit the following documents to [email protected]with the subject line including this job reference followed by your surname: "SGPRSH, Your Last Name”

1. A cover letter (max. two pages) explaining your research experience/interest, competencies, and preferred academic areas (ranked if multiple)

2. A detailed CV with contact details of two potential references

3. A copy of your official academic transcripts and detailed marks

4. A writing sample or dofile showcasing one of your core competencies

Selection process:

Applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged. We will acknowledge all applications submitted but due to the large volume of applications we receive, we will only contact shortlisted candidates. Please make sure that your application is complete and includes all the required documents mentioned above.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Researcher of Crypto Assets, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior.

How you will make an impact…

• Investigate the potential application of existing strategies to new products
• Quantitatively analyze trade data and perform post-trade analysis of strategies
• Assist in the development of analytical tools
• Communicate relevant news, market events, and system behavior to team members in a clear and concise manner
• Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team

What you bring to the team…

• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
• Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations
• A deep curiosity of analyzing large data sets using your knowledge of probability and statistics
• Familiarity programming in Python, C++, C or similar languages
• Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
• Can advocate for your perspectives on trading strategies and risk in a concise manner to the team
• The ability to communicate effectively and work well in teams

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,200 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-BM

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

A MNC technology organisation is seeking an experienced AI Researcher to join their team.

Your new company

We are seeking a highly skilled and experienced AI Researcher to join the team.

Experienced in artificial intelligence and machine learning, passion to innovate and improve the capabilities of existing solutions, work closely with cutting-edge research projects, develop new algorithms, AI initiatives, for independent and collaborative research.

Your new role

As AI Researcher in the engineering team, you will be responsible for:

· You will be responsible to design and conduct scientific experiments, utilizing core

AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. Work with statistical analysis, machine learning, deep learning, generative AI, and text representation techniques.

· Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.

· Familiar with AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions.

· Collaborate with our partners and engineers to apply research findings to real-world problems and product development.

· Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.

· Develop prototypes of AI/ML solutions to solve real business and engineering problems in the areas of optimal building control and human wellbeing improvement.

What you need

· PhD or Master degree in Computer Science, Computer Engineering, Statistics,

· Engineering, or related technical field.

· 2-4 years of experience in research and development, specifically in one or more of

· the following areas:

· Experience with deep learning frameworks such as Pytorch or Tensorflow and machine learning libraries such as scikit-learn.

· Generative AI, specifically in generating synthetic data.

· Large vision language model (LVLM), Embodied AI.

· Proficiency in programming languages such as Python and/or C/C++. Experience

with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.

· Experience with any cloud computing platform and/or IoT systems is preferred

· Demonstrate an analytical mindset with adept problem-solving skills.

· Stay abreast of the latest research developments in AI through literature review,

attending conferences, and tech-sharing sessions with fellow team members.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or emai [email protected] for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

The INSEAD’s Stone Centre for the Study of Wealth Inequality, in combination with the Economics and Political Science area, invites applications for a full time Pre-Doctoral Researcher to work as a Research Associate (Area Researcher) on INSEAD’s Singapore campus.

The role involves working with Professors Pushan Dutt and Lin Tian on various projects related to inequality, broadly defined. The ideal candidate should have strong data management and data analyses skills, particularly software packages such as STATA, R, Matlab and Python. Skills in STATA are especially valuable.

The position is ideal for a recent university or Masters graduate looking to develop their research skills in economics in view of applying for a PhD programme. It will provide the candidate with great preparation for PhD programme entry by training the applicant in doing research, giving him/her access to some PhD training and developing a relationship with potential letter writers.

The full-time position is for one year with a possibility of renewal after evaluation at the end of the year. The candidate needs to already have authorization to work in Singapore. Students who are graduating or have graduated from Singapore local universities may apply for the position.

Requirements

All candidates should fit the following profile:

• Bachelor's or Master’s degree in economics, computer science, statistics, or mathematics preferred.
• Fluency in written and oral English is required.
• Knowledge of STATA is required. At least one other programming language (Python, Julia, Matlab, SAS or R) is a plus.
• Strong analytical/empirical skills
• Ability to work independently and in small teams
• Excellent work ethic
• Excellent organizational and oral/written communication skills
• Strong motivation and high academic values

About us

The James M. and Cathleen D. Stone Centre for the Study of Wealth Inequality was founded in 2017 to serve as a venue for the research and teaching of income and wealth inequality issues in a business school environment. By convening an interdisciplinary team of scholars from across INSEAD, the Centre aims to generate new insights about inequality problems and business working together with government to solve them.

· INSEAD's Stone Centre for the Study of Wealth Inequality

· Economics and Political Science area

Applications

To be considered for the position, please submit

1. Cover letter.

2. Curriculum vitae.

3. The academic transcripts.

4. Any writing or research work sample.

5. Name and contact details of 2 potential references.

Please submit all materials to [email protected].

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STONEPRESGP). The review will begin immediately. Applications will be considered until the position is filled.

Successful applicants may start as soon as possible.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.