Total 32 Junior Executive market researcher job vacancies in d21 upper bukit timah clementi park ulu pandan

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

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

IFCHOR GALBRAITHS is a globally recognised, international shipbroker with 20 offices and over 300 employees globally.

We pride ourselves in delivering a high quality, service minded approach, through our extensive network of proactive team of brokers in strategic locations worldwide.

As part of our expansion, we are currently looking for a young professional intern to join and contribute to the continued development of our highly regarded research team and the further success of a world-leading shipbroking house on a professional internship.

The successful candidate will be based at our office in Singapore. Duration of Internship will be around 6 months.

Job Title

Assistant Market Research Analyst (Internship)

Role Description

The executive role will be part of our in-house market research arm that provides freight market analysis and actionable intelligence to the other business units (ship broking, S&P and finance) and their clients.

Tasks and responsibilities:

· Play an active role in further developing and automating routines, procedures used for processing various type of market-related data

· Develop recognized expertise in specific commodity (minor bulks, specifically) and shipping markets

· Conduct fact-based research and analysis to support the production of actionable intelligence

· Keep track of the latest market developments, develop price views and provide related communication and recommendations to commercial teams

· Assist with publication of research commentaries and other studies and presentations

· Any other ad-hoc duties as assigned

Profile - qualifications and capabilities:

· Any degree with strong interest in Commodity and/or Freight Analysis is welcome

· Passion in numerical/data analysis

· Basic MS Excel proficiency, soft programming (e.g. VBA & SQL, shell scripting) and databases skills (e.g. Access or mySQL)

· Strong communication skills with the ability to communicate with various internal and external stakeholders

· Enjoy working in a small knitted team and able to perform under pressure

· Independent and self-motivated, highly reliable and readiness to take on responsibility

· Fluent in written and spoken English. Other languages a plus

Please submit your application via email to [email protected]

Please note that we will only respond to applicants who correspond to the profile.

Job Responsibilities:

The AVP role within the market risk management department (Market risk analytics team) will be in charge of performing market risk/counterparty credit risk analysis, monitor market risk activities undertaken by Global Markets (Trading and Treasury), counterparty credit risk activities undertaken by Global Markets (Trading and Sales) and participating UAT in various projects, e.g. Potential Future Exposure project, IRRBB, benchmark/Libor Transition project. The scope of products spans interest rate derivatives (including Interest Rate Options) and FX derivatives (including FX Options).

[Market Risk]

• Prepare daily, monthly and other periodic risk reports and provide PnL & risk analysis for the bank’s trading and treasury portfolio for branches in Asia and Oceania;
• Provide analysis of market risk exposures, VaR;
• Provide market risk stress testing and analysis for branches in Asia and Oceania;
• Provide market risk KRI monitoring;
• Provide daily VaR back-testing;
• Prepare Singapore/Regional ALM/MRM Committee material and provide market risk commentary;
• Support Manager to conduct risk limit review;
• Monitor, investigate and report risk limit excesses;
• Provide Volcker rule metrics reporting and analysis;
• Monitor Benchmark submissions (SORA) and report to Benchmark Oversight Committee;
• Perform ad-hoc project UAT in order to improve the processes and operations;
• Liaise with stakeholders, including Global Markets, Treasury and provide market risk analysis / information;
• Support Manager to liaise with internal / external auditors to ensure good practices are adopted in the bank;
• Support Manager to liaise with regulators by providing necessary information/ analysis;
• Support Manager to ensure compliance with all relevant Group and local policies and procedures, including but not limited to Market Risk policies and procedures;
• Support Manager to do annual/ad-hoc review of policies and procedures, including but not limited to Market Risk policies and procedures;
• Liaise with internal stakeholders, including Global Markets, Treasury, Back-office, system division, product office etc;
• Participate in centralisation and streamlining projects
• Support regional branch in all Market risk related matters;
• Provide guidance and support to junior staff.

[Counterparty Credit Risk & Project Support]

• To participate UAT for Potential Future Exposure (PFE) project, e.g. run PFE simulation, calibration, backtesting, stress testing and prepare the model document
• To participate the development and maintenance of technical EUC tools for example IRRBB calculation
• To participate the development and implementation of Wrong-way risk
• To participate the implementation of CVA stress testing
• Support senior staffs/participate in other various projects e.g. Benchmark/Libor transition etc.
• Support Head Office’s initiatives, middle office systems implementation in Singapore and other regional branches;

Job requirements:

• Bachelor’s degree in financial engineering, mathematics, statistics, quantitative finance, Data management, economics or in quantitative related fields
• At least 1 year of working experience in market risk related jobs, such as Market Risk Management / Product control / Counterparty Credit Risk / Global Markets / Treasury
• Good knowledge of banking and derivatives products
• Good Experience in using Python, Power Query, Tableau, Excel with VBA skills
• Good initiative and inter-personal skills, ability to work efficiently in a team and independently.
• Good communication skills (both verbal & writing) with colleagues in Singapore and regional branch.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10067969

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

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

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

Securing the Future with AvePoint

AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

Job Summary:

We are seeking multiple Postdoctoral Researchers specializing in Machine Learning (ML) and Artificial Intelligence (AI) to join our innovative research team. These positions focus on areas such as machine learning, deep learning, reinforcement learning, expert systems, and interdisciplinary AI/ML research. If you have a strong theoretical foundation paired with an empirical approach, this role will allow you to explore cutting-edge solutions with practical industry applications.

Key Responsibilities:

• Conduct innovative research in areas like machine learning, deep learning, expert systems, and AI.
• Define and pursue specific research objectives in alignment with the company’s innovation goals.
• Collaborate with other researchers and cross-functional teams to develop and deploy AI solutions that address real-world industry challenges.
• Maintain and update research documentation, prototypes, and tools.
• Present research findings and insights to both technical and non-technical stakeholders.
• Stay updated on the latest advancements in AI and data science.
• Assist with administrative tasks related to research projects.

Qualifications/Requirements:

• PhD in Computer Science, Statistics, Applied Mathematics, or related fields, with a focus on artificial intelligence.
• Min. 2-5 years of hands-on experiences in machine learning modelling, NLP and conversational AI.
• Proficiency in programming languages such as Python, R, Matlab, Julia, C/C++, etc.
• Proven analytical and problem-solving skills, with an innovative approach to research.
• Experience developing AI solutions for industry applications is an advantage.
• Strong publication record as a first-author in peer-reviewed journals, conferences, or book chapters.

What We Are Looking For:

• Commitment to continuous learning and professional development.
• Initiative, proactive work ethic, and motivation to explore new research areas.
• Adaptability and openness to change in a fast-paced environment.
• Ability to collaborate effectively within cross-functional teams and with diverse stakeholders.
• Excellent verbal and written communication skills.
• A strong sense of responsibility and dependability in delivering results.

This is a fantastic opportunity to work on the frontlines of AI/ML research and make an impact in shaping real-world applications. If you are passionate about AI and want to explore solutions that influence global industries, we want to hear from you!

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

IFCHOR is a highly competitive international shipbroking company providing extensive shipping market coverage and shipbroking expertise to our global clients for over 40 years.

We pride ourselves in delivering a high quality, service minded approach, through our extensive network of proactive team of brokers in strategic locations worldwide.

We are looking for a like-minded bright graduate or a young professional to join and contribute to the continued development of our research team and further success of a world leading shipbroking house.

The successful candidate will be based either in Seattle (WA) with the potential to undertake regular stays abroad for training purposes.

Job Title

Junior Market Research Analyst

Role Description

The executive role will be part of our in-house market research arm that provides freight market analysis and actionable intelligence to the other business units (ship broking, S&P and finance) and their clients.

Tasks and responsibilities:

• Compile market news and data, generate daily, weekly & monthly market reports

• Play an active role in further developing and automating routines, procedures used for processing various type of market-related data

• Develop recognized-expertise in specific commodity and shipping markets

• Conduct commercially relevant fundamental and quantitative analysis to support the production of actionable intelligence

• Keep track of the latest market developments, develop price views and provide related communication and recommendations to commercial teams

• Any other ad-hoc duties as assigned

Profile - qualifications and capabilities:

• Recent graduate (0-3 years work experience) with University degree or proven equivalent qualification in Engineering, Natural Sciences or Maritime Studies

• Understanding of basic financial concepts and financial/commodity markets through course(s) or job experience(s)

• Computer literacy and experience in MS Office

• Computer programming skills (e.g. VBA, MATLAB or Python), database management and data analysis/modelling skills

• International exposure

• Fluent in written and spoken English. Other languages such as Mandarin, Italian or French strongly preferred

• Strong communication skills with the ability to communicate with various internal and external stakeholders

• Enjoy working in a small and demanding environment and able to perform under pressure

• Diligent, result oriented, independent and self-motivated, highly reliable and readiness to take on responsibility

• US/Canadian citizenship or valid work permit for the USA

Please submit your application via email to [email protected]

Please note that we will only respond to applicants who correspond to the profile.

Details of the Division and Team:

Deutsche Bank’s Investment Banking (“IB”) is responsible for the origination, sale, structuring and trading of fixed income, foreign exchange, derivatives and money market products. IB has established itself as a global leader in these products by combining its unique distribution franchise with its pricing, structuring and execution expertise.

The Global Emerging Market (“GEM”) Business Finance team in Singapore is responsible for ensuring the official risk and financials of the GEM business are reported accurately on a timely basis, with key control processes (e.g. trade capture controls, model risk control, significant trade analysis, new product approval, end-of-day valuation and risk runs, etc.) executed to the standards published in the bank’s policies & procedures. The team performs financial planning & analysis of the global GEM business performance, including Asia, CEEMEA & LatAM, for senior stakeholders reporting and management purposes.

We are looking for an intelligent, proactive and highly motivated individual to work in the GEM Business Finance team in Singapore. The role will comprise of driving and performing the Financial Planning & Analytics (“FPA”) book-of-work and other initiatives. The role requires strong technical skills and stakeholder management with Front Office, Infrastructure Groups and other Finance teams across multiple locations.

What we will offer you:

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Flexible working arrangements
• 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement

Your key responsibilities:

• Support CFO of GEM and traders in various regions with reporting and analysis of performance
• Manage stakeholders and offshore team to deep dive into performance and explain financial metrics.
• Partner with business and other infrastructure groups on initiatives and measurement of progress
• Prepare budgets and tracks actual results against budget targets.
• Perform analysis of usage of financial resource for optimization and to measure return metrics on such resources
• Lead in re-engineering projects, including innovative self-improvement of processes and control procedures.
• Ensure control processes are in place around the financial planning & analysis matters.
• Observe regulatory and compliance requirements related to the products/business/bank.

Your skills and experience:

• Minimum of 5-7 years’ experience working in a FPA related role in a major foreign investment bank background.
• Degree in Data Science, Accounting, Finance.
• Understanding of Basel rules
• Strong technical skills in one or more of Tableau, Alteryx, Python, BO query etc.
• Strong communication skills
• Project management skills to drive continuous improvement of processes and workflow.
• Ability to work effectively in a fast-paced and dynamic environment
• Ability to manage multiple tasks and projects simultaneously.

Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirements may apply.

How we’ll support you:

• Flexible working to assist you balance your personal priorities
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs
• Training and development to help you excel in your career

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Purpose of the job:

The AVP, Digital Strategy (Business Development and Market Intelligence), is responsible for developing and executing strategic initiatives to enhance market intelligence capabilities and drive business development activities within the Digital Strategy Division. This role involves gathering, analyzing, and disseminating market insights, as well as fostering relationships with key business units to support their growth and strategic goals. Business development with the business units, leveraging frontier technologies offered by startups and tech firms is an exciting area of focus. The role is suitable for someone who is entrepreneurial and has the passion to create future business opportunities in commercial banking.

Primary Responsibilities

Strategic

Develop and implement that align with the division’s goals and objectives.Identify emerging market trends and opportunities to inform strategic planning and business development activities Collaborate with business units to identify and pursue new business opportunities.

Customer

Gather and provide thought leadership and expertise in market intelligence to support customer-facing teams in their engagements. Develop and maintain strong relationships with stakeholders to drive business development initiatives that can benefit either the business or our clients

People

Cooperate with colleagues both in Singapore and ASEAN and deepen relationships with stakeholders

Other/ Control

Ensure compliance with the relevant regulations and limits. Maintain good professional knowledge based on industry trends, products, the relevant laws and regulations

Qualification & Experience

• Minimum Bachelor’s Degree in Business, Finance, Economics, Computer Science or similar fields.
• Strong analytical skills with the ability to interpret complex market data and trends.
• Excellent communication and presentation skills to effectively convey insights and business development opportunities to stakeholders.
• Proficiency in market research tools and techniques.
• Ability to work collaboratively with cross-functional teams, e.g. Global Commercial Banking.
• Interest and passion in frontier technologies and their applications in business domains e.g. Generative AI, Web3, fintech, ecommerce, Saas etc.
• Project management with consulting mindset are necessary for effective business development
• Professional certifications in market research, business development, or related disciplines are an advantage
• Minimum 5 years’ experience in market intelligence, market research, business development, or a related field.
• Experience in developing and implementing market intelligence and business development in a financial services or consulting environment.

We regret to inform that only shortlisted candidates will be notified.

Job ID: 10066413

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Applied Learning Sciences and Educational Technology (ALSET) (to be renamed Centre for Holistic Inquiry into Lifelong Learning (CHILL)) has an opening for a UI/UX Researcher (Research Assistant) role.

The User Researcher will utilize data analytics to understand and analyze the needs, behaviours, and motivations of users to inform the design and development of a system for designing inclusive blended learning solutions for diverse learner populations. This involves:

• Gathering raw data from various sources such as databases, data warehouses, social media, and more.
• Preparing the data for analysis by removing inaccuracies, inconsistencies, and redundancies.
• Applying statistical and mathematical models to the data to identify relationships, correlations, and causations.
• Conducting various research activities such as interviews, surveys, and focus groups to gather both qualitative and quantitative data from users.
• Synthesizing qualitative data through thematic analysis and interpreting quantitative data using statistical methods.
• Creating visualizations to interpret and communicate findings from collected data.
• Translating research findings into actionable insights and recommendations, guiding the design and development process to ensure the final product meets user needs effectively.

Additionally, the researcher will work in the broader field of Human Computer Interaction (HCI) on researching user experience where they would be developing, prototyping and conducting usability testing. The Designer will also be involved in developing various artefacts contributing to the Technology Enhanced Learning (TEL) aspect of HCI research, and leading appropriate research activities.

Qualifications

• Bachelor’s Degree in Information Systems or related fields.
• At least 1-2 years’ experience in user research and data analytics using technologies such as Tableau, R and Python.
• Experience in databases such as MongoDB, MySQL, PostgreSQL is preferred.
• Experience in technologies such as React, Node is an added plus.
• Prior research experience is advantageous.
• Strong analytical skills and proficiency in data analytics tools.
• Excellent communication skills (written and verbal) and interpersonal skills.

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:

• Diploma/bachelor’s in a computing related field or relevant practical experience
• 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

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

The candidate will support the Legal, Regulatory and Compliance Department (“LCD”) and reports to

the Chief Regulatory Officer.

Key Duties and Responsibilities:

1) Market Surveillance

a) Identify potential market misconduct and other behaviour that impact APEX’s operation of a fair, orderly

and transparent market

b) Review and implement frameworks, policies and procedures to enhance APEX’s trade surveillance and

investigations of market misconduct

c) Perform regular/daily tasks to monitor market activity, including, but not limited to:

(i) Analysis of trading alerts triggered for unusual transactions and orders

(ii) Escalation of suspicious trading behaviour for investigations and/or to the regulators

(iii) Review and update of alert parameters and logic

d) Liaise with regulators and other law enforcement agencies on relevant matters when necessary.

2) Corporate Governance

a) Review and implement processes and procedures to strengthen APEX’s internal governance

 b) Assist the Corporate Secretary in matters related to corporate governance and the Board of directors

 c) Maintain effective communications and relationships with APEX’s shareholders and the Board of

directors

3) Support other related functions undertaken by LCD, including review of whistleblowing complaints and

disciplinary breaches.

Requirements:

• University degree from reputable institutions.
• 5 years or more relevant working experience in derivatives trading or derivatives trade surveillance. Investigation/law enforcement background is a plus.
• Team player with good writing, communication and interpersonal skills.
• IT literacy and ability to work with large datasets are preferred.

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

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

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

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

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

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

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

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

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