Total 30 Junior Executive researcher job vacancies in 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.

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

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.

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.

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.

About Grasshopper

Grasshopper is a prominent technology provider headquartered in Singapore. We uphold core values of honesty, integrity, and teamwork, guiding our future success. Our cutting-edge, in-house technology places us at the forefront of electronic trading advancements.

About Grasshopper Asset Management

Grasshopper Asset Management, a subsidiary of Grasshopper, is expanding and seeking an exceptional candidate to join the Equities Trading Team.The ideal candidate will have a strong foundation in quantitative analysis, a passion for financial markets, and the ability to develop and implement complex models. This is an excellent opportunity for a recent graduate or early-career professional to grow and develop their skills in a fast-paced, results-driven environment.

As a key member of the Equities Trading Team, you will:

• Create high quality predictive signals using large datasets
• Combine said signals into models

To achieve these 2 objectives, you will:

• Develop a strong understanding of the market structure of various exchanges
• Identify statistical patterns and opportunities by leveraging complex data
• Share and discuss research results, methodologies and processes with other researchers

We'd love for you to have:

• A Master’s or PHD in a quantitative discipline such as Statistics, Financial Engineering, Operations Research, Physics, Applied Mathematics, Machine Learning or Deep Learning.
• Proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and eagerness to interact with colleagues from a wide range of backgrounds and expertise.
• A strong interest in financial markets and trading.
• Excellent reasoning ability and strong mathematical aptitude.

What we offer in return:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Competitive compensation

What you can expect working at Grasshopper:

At Grasshopper, you will be working in a diverse and dynamic environment. With more than 16 nationalities working in an open office, communication is essential to performance. We give employees a high level of autonomy and encourage them to get creative, take risks, make mistakes and learn from them. The sprint is on!

Grasshopper is an equal opportunity employee.

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.

The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching institution in strategic and international affairs and policy-oriented think tank in the Asia-Pacific region.

RSIS is seeking suitable candidates for the position of Research Analyst/Senior Analyst/Associate Research Fellow with the Military Transformations Programme. The successful applicant should have a research focus on key issues, trends, and developments in military-tech governance and responsible innovation of emerging technologies in defence. Research problems in this area may include mapping norm development trajectories, mechanisms, and dialogues on responsible innovation in defence, including in areas such as artificial intelligence, autonomous weapons systems, and contested domains such as space, underwater, and cyber. Moreover, projecting how select countries, militaries, tech-companies, and international organisations are implementing and operationalizing responsible defence innovation and why.

The successful applicant is also expected to contribute to the School’s multidisciplinary research agenda, contribute to team research and policy-oriented projects, and organise conferences and seminars. A relevant Master’s degree with a good publication record are essential requirements. All applicants should submit the following:

• A cover letter specifying how your qualifications match the job description;

• A detailed curriculum vitae;

• 2 published articles or writing samples; and

• 3 reference letters.

We regret that only shortlisted candidates will be notified.

For further information about RSIS, please visit our website: www.rsis.edu.sg.

Research Analyst / Senior Analyst (Malaysia Programme)

The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research and teaching institution in strategic and international affairs and policy think tank in the Asia-Pacific region.

RSIS is seeking applicants for the position of Research Analyst/ Senior Analyst for Malaysia Programme. Applicants should have a deep interest and some experience in researching on Malaysia's foreign, defence and security policies. They should be able to write in concise and grammatical English, and instinctively take an open and analytical approach to public policy and politics. Equally, they should be conscientious and effective managers of time and budget. They should be self-motivated and happy to work independently on their own but also harmoniously in a team as needed.

The successful applicant will assist in managing research projects and undertake research and reporting on current developments in Malaysia. Administrative duties will include working with research partners and administrative colleagues, organising events, and managing the programme's budget.

Applicants should possess a minimum of Bachelor’s degree in history, international relations or related disciplines, with proficiency in the Malay Language (written and spoken). Applicants should also possess good writing and research skills with an aptitude and interest for in-depth research a relevant field.

All applicants should submit the following in your application:

• A cover letter specifying how your qualifications match the job description
• A detailed curriculum vitae
• A statement of research interests
• 2 writing samples or publications
• 2 reference letters, including from non-university sources

We regret that only shortlisted candidates will be notified.

For further information about RSIS, please visit our website: www.rsis.edu.sg

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

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