Point72 Academy Investment Analyst Program for Upcoming Graduates (US)

We’re training the next generation of Point72 investors

The Point72 Academy Investment Analyst Program for Upcoming Graduates is a paid ten-month training program designed to introduce you to the buy-side and prepare you for a potential career as an analyst at Point72.

We’re looking for current students graduating between December 2026 and July 2027 to join our 2027 classes.

• After successfully completing the program, you’ll have the opportunity to join a network of more than 230 Point72 Academy graduates who we have placed at our firm, as of March 2026. If you are successfully placed as an analyst, you will have access to mentorship and professional development resources that can help you progress your career for years to come.

What you’ll do

Join us to learn the fundamental research and analysis skills needed to become an investment analyst at Point72, applying your intellectual curiosity in a role that prizes creativity, autonomy, and analytical rigor. The program begins in our New York City office with eight months of formal training followed by two months of rotations with Fundamental Equities investment teams or similar roles on our platform. Upon successful completion, you may have the opportunity to join an investing team as a full-time analyst.

• Develop sophisticated company analysis and modeling skills with guidance from our Academy faculty, investment professionals, and professors from some of the world’s leading universities.
• Learn statistics, accounting, financial modeling, data analysis, coding, and more.
• Complete a compliance training curriculum designed to prepare you for an analyst role.
• Apply the skills you’ve developed to real-life situations as you rotate with up to three investing teams.
• Work closely with our investment professionals, gaining firsthand experience and mentorship throughout your rotations.

Upon Successful Graduation: The Analyst Role

You may have the opportunity to become an equity research analyst at Point72, where you'll apply your financial acumen and curiosity to help shape your team’s investment strategies as you:

• Build and refine sophisticated financial models to help you understand the businesses you cover and how they are changing
• Perform company channel checks; attend industry events; build relationships with sell-side analysts and sales professionals; analyze data sets to develop investment theses – subject to the firm’s compliance policies and procedures
• Constantly develop your skills through coaching from your Portfolio Manager and by using the full breadth of the Professional Development resources available to you
• Conduct yourself with the highest levels of professionalism, integrity, ethics, and excellence

Who We're Looking For 

• We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can collaborate effectively, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the financial markets.
• Students should have a high enthusiasm for the financial services industry. Interest in analyzing companies and looking at stocks is recommended given the project-based nature of this program.
• Candidates with excellent communication skills (verbal and written) and a high degree of self-motivation.

 We want you to apply if you are: 

• A current student who will graduate from university between December 2026 and July 2027.
• Fascinated by research and problem-solving, relentlessly curious, and constantly expanding your horizons.
• Committed to continued success in your academic and professional career with the highest levels of professionalism, integrity, and excellence.
• Commitment to the highest ethical standards.
• Highly self-driven and motivated to explore a career in finance.

What to expect:

• Your online application, essays, and resume will serve as an introduction to who you are as a candidate. Once submitted, we will begin reviewing your profile.
• Selected candidates will receive an email invitation to participate in a case study, allowing you to showcase your experiences and demonstrate your business acumen.
• Following submission and review of your case study, the next step is a series of virtual one-on-one interviews with various members of the Academy team, if selected.

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

We’re a firm that thrives on ideas, and we’ve found that the Point72 Academy has provided us with diverse viewpoints and perspectives. We can offer support in Academy Associates’ growth and development as analysts and portfolio managers.

For more information, visit www.Point72.com/working-here

There is no set application deadline for this position. Candidates are considered as they apply, until the program is at capacity. We strongly encourage you to apply and fulfill all requirements as soon as you feel ready to begin the hiring process. Please note, you may only submit one application to the Academy program globally, so please be sure to apply to the region you are most interested in.

Don't miss this opportunity to kickstart your career in the world of investing with Point72 Academy.

Please note that any use of GenAI is strictly prohibited when completing this application.

The U.S. annual base salary for this role is $125,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.

ABOUT PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research.

Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts. Our team produces impactful research that will change the way you look at the world.

WHAT YOU'LL DO
This 6-month intensive fellowship offers hands-on experience in research, business analysis, cross-functional collaboration, and the investment process within a fast-paced, compliance-focused environment. Canvas Fellows will be considered for permanent placement on the team following completion of the program.

When you join the Canvas team, you’re signing up for the learning experience of a lifetime. You will never look at anything the same way—from grocery stores to tires to semiconductors. Every day, Canvas team members speak with private company executives and learn about the businesses they’ve spent their lives building. The team synthesizes findings in comprehensive reports that are consumed by Point72 investment professionals.

Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. During the 6-month program based in our New York office, you will:

• Become a subject matter expert on an assigned industry
• Engage with small, medium, and large private company executives about their businesses and the industries in which they operate, gathering qualitative data on key development—including structural shifts, real-time changes in supply/demand dynamics, and emerging competitors, markets, and technologies—with a focus on understanding why they are happening
• Synthesize your findings in comprehensive reports that present a view of the industry
• Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues
• Interact directly with our investment professionals and learn the discretionary investment process to help drive more informed investment decisions
• Partner on the above with dedicated Compliance professionals

WHAT EXCITES YOU

• Staying current on the evolving alternative data market and its role in discretionary investing
• Speaking with experts both inside and outside the firm to understand data needs and offerings
• Analytical thinking and sifting through available data to find “the answer”
• Fast-paced work environments that at times require switching gears to address the needs of the business
• Working as part of a cross-functional team comprising investment, research, and compliance professionals

WHAT EXCITES US

• Excellent attention to detail, organization, and project management skills
• Superb business intuition and a solution orientated, methodical approach to problem-solving
• Ability to collaborate and build relationships across multiple business units within the firm
• People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
• Commitment to the highest ethical standards

WHAT’S REQUIRED 

• Undergraduate degree conferred in 2025 or 2026
• Strong analytical skills
• Excellent written and verbal communication abilities
• An eagerness to find out if your conclusions are right or wrong
• An understanding of how companies work (their processes and outcomes) or an interest in learning
• Intellectual curiosity, creative thinking, maturity
• Highest standards of ethical decision making

WHAT SUCCESS LOOKS LIKE

• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters most, ask questions when needed, and are cognizant of not wasting your time or that of others
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, work product, and solution orientated attitude

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary is $100,000 (USD) which will be prorated based on program start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Please send CVs to kepl-talent@cubistsystematic.com with “2027 KEPL Application” in the subject line.

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding into new markets and assets classes.

Role:

We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems.  In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.

Responsibilities:

• Conduct quantitative research to support the team’s investment process.
• Build technologies that bolster research & trading productivity.
• Develop, maintain, and improve the production trading capacity.
• Expand the system to new markets and asset classes.

Requirements:

• Master or PhD degree in math, physics, computer science, engineering, or other related discipline.
• 1-3 years of professional experience in software development or quantitative research.
• Strong combination of quantitative skills and programming skills.
• Proficiency in Python 3 and either C++ or Java.
• Familiarity with the Linux environment.

Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QD Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role / Experience:

We are looking for exceptional students to be our quantitative developer interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical and programming skills and be able to solve hard problems rigorously. Our typical intern candidates come from math, computer science, or other related programs of top US universities.

Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will further learn and develop strong analytical skills through working with our full-time researchers and developers on challenging real-world problems. We will consider full-time offers for interns after the internship.

Requirements:

• Undergraduate degree or higher in math, computer science, or other quantitative fields
• Strong analytical skills, with attention to details
• Strong passion in applying new technologies to trading
• Proficiency in Python and either C++ or Java
• Good communication skills
• Proficiency with Linux environment
• Knowledge of numerical computing is a plus
• Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

• Undergraduate degree or higher in math, computer science, or other quantitative fields
• Strong analytical skills, with attention to details
• Strong passion in applying new technologies to trading
• Proficiency in Python and either C++ or Java
• Proficiency with Linux environment
• Knowledge of numerical computing is a plus
• Commitment to the highest ethical standards 

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. 

Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

About Our Firm:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role / Experience:

We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.

Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.

Requirements:

• PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
• Strong knowledge of computational math, probability, and statistics
• Strong analytical skills, with attention to details
• Good communication skills
• Willing to work in a fast-paced start-up environment
• Willing to learn and to take ownership
• Strong programming skills in Python or C/C++
• Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Point72 Academy 2026 Investment Analyst Program for Experienced Professionals 

We’re training the next generation of Point72 discretionary investment professionals. The Point72 Academy Program is a ten-month paid training program designed to introduce you to the buy-side and prepare you for a potential career as a Fundamental Equities Financial Analyst at Point72. 

Upon successfully graduating from the Academy, you will have the opportunity to be placed in a role on a long/short equity investing team. 

As an analyst at Point72, you will benefit from our mentorship culture and ongoing professional development resources that are dedicated to your continued growth beyond the Academy. 

WHAT YOU’LL DO: 
Learn the fundamental research and analysis skills needed to be an analyst at Point72 and apply intellectual curiosity in a role that values creativity, autonomy, and analytical rigor. 

• Develop sophisticated company analysis and modeling skills from our Academy faculty, investment professionals and professors from some of the world’s leading universities. 

• Learn statistics, accounting, financial modeling, data analysis, coding, and more. 

• Complete a compliance training curriculum to prepare you for an analyst role. 

• For all Academy Associates, at least a portion of this training will take place in our New York City office 

• Apply the skills you’ve developed to real-life situations as you rotate with two investing teams. 

• Gain firsthand experience and valuable mentorship from our investment professionals during your rotations. 

Upon Successful Graduation: The Analyst Role 

Upon the successful completion of the Academy, you’ll have the opportunity to interview for an equity research analyst role at Point72, where you’ll work closely with your portfolio manager and team to develop a deep understanding of companies across industries and around the world. Through fundamental research and financial analysis, you’ll attempt to see change before it happens and turn those insights into actionable investment ideas. You can apply your financial acumen and curiosity to help shape your team’s investment strategies as you: 

• Develop sophisticated financial models to help you understand the businesses you cover and how they are changing 

• Perform fundamental research; attend industry events, interact with sell-side research analysts and sales professionals, and analyze compliant data sets. 

• Constantly develop your skills through coaching from your portfolio manager and by using the full breadth of the professional development resources available to you 

• Apply your ever-growing knowledge base to identifying and opining on key market debates that drive stock prices 

• Creatively research questions subject to the firm's compliance policies and procedures 

• Recognize variant views versus the market 

• Conduct yourself with the highest levels of professionalism, integrity, and ethics 
   

WHO SHOULD APPLY: 

At the Point72 Academy, we hire for potential. We are looking for problem-solvers who offer unique perspectives that can be applied to investing. We want you to apply if you have: 

• Superior analytical skills, demonstrated through work experience and/or graduate education in fields such as finance, law, philosophy, economics, history, political science, journalism, humanities, or liberal arts. 

• The ability and ambition to learn quickly, as we prepare you to potentially join a fundamental equities investing team as an investment analyst. 

• A demonstrated passion for problem-solving, regardless of discipline. 

• Strong written and verbal communication skills, with the ability to collaborate well with others. 

• A fierce commitment to ethics and integrity. 

• Self-motivation, maturity, and eagerness to learn. 

• Exceptional critical and analytical thinking ability. 

• An undergraduate degree (or above). 

TIMING:  
We have three start dates per year. The start class you will be considered for depends on when you apply. 

WHAT TO EXPECT:   

• Your online application, essays and resume will serve as an introduction to who you are as a candidate. Once you complete the online application, we will begin reviewing your profile.   

• Selected candidates will then receive an email invitation to participate in a case study, allowing you to showcase your experiences and demonstrate your business acumen.    

• Following submission and review of your case study, the next step would be an online assessment and virtual one on one interviews with various members of the Academy team, if selected.    

ABOUT POINT72  

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.   

We’re a firm that thrives on ideas, and we’ve found that the Point72 Academy has provided us with diverse viewpoints and perspectives. We can offer support in Academy Associates’ growth and development as analysts and portfolio managers. 

For more information, visit www.Point72.com/working-here 

There is no set application deadline for this position. Candidates are considered as they apply, until the program is at capacity. We strongly encourage you to apply and fulfill all requirements as soon as you feel ready to begin the hiring process. Please note, you may only submit one application to the Academy program globally, so please be sure to apply to the region you are most interested in. 

Don't miss this opportunity to kickstart your career in the world of investing with Point72 Academy.   

The US annual base salary for this role is $125,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.  

Please note that any use of GenAI is strictly prohibited when completing this application.  

ABOUT CUBIST:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

RESPONSIBILITIES:

• Building components for both live trading and simulation
• Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
• Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

REQUIREMENTS:

• Bachelor’s degree or higher in computer science or other STEM discipline
• Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
• Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
• Proficiency with Linux
• Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
• Proficiency with C/C++ is a plus
• Experience with designing and implementing trading systems is a plus
• Commitment to the highest ethical standards

 A Career with Point72’s Infrastructure Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all Point72’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration, and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.

We are looking for a detail-oriented and dedicated Market Data Support Engineer with at least 10 years of experience in the design, implementation, and support of Linux/Unix operating systems.

What you’ll do

In this role, you will work as part of a team responsible for the design, engineering, implementation, and 3^rd  level support of the Linux and Market Data systems. Specifically, you will:

• Manage, communicate, and implement infrastructure changes, upgrades, and migrations on Linux co-located servers
• Support, monitor, and maintain co-location market data infrastructure running on RHEL
• Engage with vendors and exchanges on protocol upgrades (EDC) and operational issues
• Analyze packet captures (gaps, data quality checks)
• Liaise with Market Data capture vendor on issues, upgrades, and performance enhancements
• Implement a strategic monitoring platform with streaming infrastructure (Prometheus / Grafana)

What’s required

• 10+ years of Linux System Administration experience supporting RHEL environments
• Experience supporting high frequency trading (HFT) environments within co-locations
• Experience engineering and supporting Market Data and/or third-party feed handlers
• Experience with tuning Linux servers for low latency, high-throughput and kernel bypass (e.g. Exanic / Solarflare)
• Experience with automation/orchestration tools (Ansible, Terraform)
• Experience with a scripting language (Bash, Python)
• Experience with cloud services and provisioning tools
• Experience with monitoring and instrumentation of infrastructure/applications (Prometheus/Grafana)
• Excellent understanding of Market Data and/or third-party feed handlers
• Ability to be an independent problem solver with troubleshooting, decision making, and analytical skills
• Ability to successfully manage multiple tasks and priorities, identify creative options and solutions, able to analyze data, and the ability to manage internal and external contacts
• Experience with version control repositories (Bitbucket / Github) and CI/CD tools
• Commitment to the highest ethical standards

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

ROLE/RESPONSIBILTIES:

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.

We believe the investment world offers unique opportunities to use modern NLP methods.

Responsibilities may include:

• Exploring and combining rich internal and external textual datasets
• Formulating research hypothesis to derive alpha
• Building GenAI solutions, leveraging both internal models and external APIs

REQUIREMENTS:

• Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
• Experience in NLP, particularly LLMs
• Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
• Data science stack familiarity
• Interest in financial markets
• Collaborative mindset
• Commitment to the highest ethical standards

ABOUT POINT72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies.

Job Description

• Develop systematic trading models across FX, commodities, fixed income, and equity markets
• Alpha idea generation, backtesting, and implementation
• Assist in building, maintenance, and continual improvement of production and trading environments
• Evaluate new datasets for alpha potential
• Improve existing strategies and portfolio optimization
• Execution monitoring
• Be a core contributor to growing the investment process and research infrastructure of the team

Desirable Candidates

• Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus
• Experience in quantitative trading, ideally in FX or futures
• Experience with alpha research, portfolio construction and optimization
• Experience building statistical/technical, fundamental, and data driven signals
• Experience synthesizing predictive signals for both cross-sectional and time-series models
• Strong experience with data exploration, dimension reduction, and feature engineering
• Thorough understanding of and comfort using a variety of regression techniques—including OLS, MLS, Ridge, Lasso, and Bayesian inference—as well as techniques for dealing with errors that can occur, such as auto-correlation and heteroskedasticity
• Experience managing and running risk is a strong plus
• Proficiency in Python using the machine learning stack—numpy, pandas, scikit-learn, etc.
• Creative mindset
• Strong time management ability—the ability to manage multiple tasks and deadlines in a fast-paced environment
• High degree of drive and energy—must be a self-starter
• Ability to work cooperatively with all levels of staff and to thrive in a team-oriented environment
• Commitment to the highest ethical standards and who act with professionalism and integrity at all times

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

JOB RESPONSIBILITIES 

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2025, Spring 2026 and Summer 2026. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

• Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
• Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
• Analyzing very large data sets to extract features useful for predictive models.
• Providing research assistance to the team.
• Helping improve the team’s research infrastructure.

DESIRABLE CANDIDATES

• Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines.
• Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets.
• Strong analytical and quantitative skills, and detail-oriented mindset.
• Proficient in Python or C++, and Linux environment.
• Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
• Willing to take ownership of his/her work, working both independently and within a collaborative team.
• Prior experience in the financial services industry is not required.
• Commitment to the highest ethical standards.

The annual base salary range is $120000.00-$180000.00 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

A CAREER WITH POINT72’S MARKET INTELLIGENCE TEAM

On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

WHAT YOU’LL DO

As a sector analyst, you will work with alternative data to gather industry context and business fundamentals. You will then partner with our team of data scientists and engineers to develop analyses that you deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will:

• Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage
• Produce research for internal consumption by our investment professionals across a variety of mediums, including written research reports, verbal communication, and visualization tools
• Interact directly with our investment professionals to learn the discretionary investment process from them and help drive more informed investment decisions
• Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, explore, and transform new and existing data assets to produce actionable research for investment professionals

WHAT’S REQUIRED  

• An undergraduate degree or advanced degree with demonstrated academic success
• One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience
• Comfort with analyzing novel data and explaining concepts to non-technical partners
• Basic proficiency with technical coding/programming (SQL, Python)
• Great organizational skills to handle a demanding workload, creativity, and a strong work ethic
• An understanding of and passion for how companies, industries, and sectors operate and function
• Elevated business intuition and an innate ability to structure ambiguous problems and solve them in innovative and creative ways
• Excellent attention to detail, organization, and project management skills
• Ability to operate productively in a team environment
• Strong verbal and written communication skills
• Experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBTQ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

The annual base salary range for this role is $95,000-$115,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.  

About Cubist: 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About our Team: 

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL QD Application” in the subject line.

Role:

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities:

• Improve data ETL pipeline and build tools to analyze new data efficiently.
• Build technologies to bolster research & trading efficiency.
• Expand to new markets and asset classes.
• Manage day-to-day operations in a fast-paced environment.

Requirements

• Master/PhD degree in math, computer science, engineering, or other related fields.
• 1-3 years of professional experience in software development or data science/analytics.
• Strong combination of quantitative skills and programming skills.
• Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
• Familiarity with the Linux environment.
• Excellent written and verbal communication skills.
• Willing to work in a fast-paced start-up environment.
• Commitment to the highest ethical standards.

ABOUT CANVAS

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research.

Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts – our team produces impactful research that will change the way you look at the world.

ROLE SUMMARY

When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same – from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals.

Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. In this role you will:

• Become a subject matter expert on an assigned industry
• Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts; real-time changes in supply/demand dynamics; and emerging competitors, markets, and technologies) and, importantly, why it is happening
• Synthesize your findings in comprehensive reports that present a view of the industry
• Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues
• Interact directly with our investment professionals and learn the discretionary investment process to help drive more informed investment decisions

WHAT EXCITES YOU

• Staying current on the evolving alternative data market and its role in discretionary investing
• Speaking with experts both inside and outside the Firm to understand data needs and offerings
• Analytical thinking and sifting through available data to find “the answer”
• Fast-paced work environments that at times require switching gears to address the needs of the business
• Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals

WHAT EXCITES US

• Excellent attention to detail, organization, and project management skills
• Superb business intuition and a solution orientated, methodological approach to problem solving
• Ability to collaborate and build relationships across multiple business units within the Firm
• People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
• Adherence to the highest ethical standards working closely with the Firm’s Compliance team

WHAT’S REQUIRED 

• An undergraduate degree or advanced degree with demonstrated academic success
• Strong analytical skills
• Excellent written and verbal communication abilities
• An eagerness to find out if your conclusions are right or wrong
• An understanding of how companies work (their processes and outcomes) or an interest in learning
• Intellectual curiosity, creative thinking, maturity
• Highest standards of ethical decision making

WHAT SUCCESS LOOKS LIKE

• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters most, ask questions when needed, and are cognizant about not wasting your time or that of others
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, work product, and solution orientated attitude

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

The annual base salary range for this role is $81,000-$100,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.  

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role/Responsibilities:

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team.

This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.

This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.

Requirements:

• PhD or PhD candidate in machine learning, computer science or other AI related research fields
• Experience with sequential modeling and time series forecasting using deep learning
• Experience with deep neural networks and representation learning
• Prior experience working in a data driven research environment
• Experience with translating mathematical models and algorithms into code
• Proficiency in programming languages such as Python and R
• Experience with machine learning software libraries such as TensorFlow or PyTorch
• Experience implementing Agent or Context engineering is strongly preferred
• Experience with natural language processing technology is strongly preferred
• Excellent analytical skills, with strong attention to detail
• Collaborative mindset with strong independent research ability
• Strong written and verbal communication skills
• Commitment to the highest ethical standards

ROLE

We're seeking an investment analyst to join a discretionary macro team focused on liquid credit.

RESPONSIBILITIES

• Conduct rigorous fundamental bottom up credit research to identify attractive long/short investment opportunities. This will entail credit analysis, financial modelling, documentation reviews, etc.
• Analyze businesses and capital structures (loans, bonds, CDS) across Distressed, High Yield, and High Grade credit markets and develop credit opinions.
• Synthesize market information and develop thematic trade ideas across sectors.
• Develop differentiated investment views from consensus and push conviction or contrarian viewpoints.
• Monitor existing positions, including news-flow, fundamental developments, and supply.
• Engage and maintain external relationships (sell-side research, syndicate, company management, ratings agencies) to develop views on issuers.

REQUIREMENTS

• 3-6 years of experience in credit research or trading on the buy-side or sell-side, ideally as a desk analyst or trader.
• Experience building full three statement models (forward/backward), including all key KPIs.
• Direct experience reviewing credit agreements and bond indentures in order to understand corporate balance sheet flexibility.
• Prior industry specific focus and experience preferred.
• Entrepreneurial mindset.
• Commitment to the highest ethical standards.

About Point72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

ROLE

Point72 is looking for a Quantitative Analyst to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. 

RESPONSIBILITIES

• Refine and advance current product offerings.
• Contribute to research efforts formalizing and building new models.
• Assist in daily workflow contributing to internal communications and data production.
• Work with PMs and analysts to answer questions and identify needs and additional features

REQUIREMENTS

• Undergraduate degree or higher in a technical field.
• Quant research or development experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Strong written and verbal communication skills.
• Passion for research, markets, and problem solving.
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment.
• Commitment to the highest ethical standards.

Role:

Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.

Responsibilities:

• Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
• Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
• Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
• Monitor, analyze and improve live trading P&L
• Collaborate with analysts and strategists to improve PM-facing content

Requirements:

• Undergraduate, Master’s or PhD candidates in a technical field
• Demonstrated creativity and rigor in the research process
• Technically comfortable handling large datasets stored in AWS using Python
• Collaborative mindset
• Passion for research and financial markets
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
• Commitment to the highest ethical standards

ROLE

Fixed income execution trader on a discretionary macro portfolio management team focused on mortgage-backed securities, TBAs, and specified pool markets.

RESPONSIBILITIES

• Build and enhance tools for analysis of MBS/MBS option and spec pool trading.
• Execute trades on behalf of PM portfolio across MBS products and hedges (rates/vol).
• Liaise and build relationships with approved broker dealer counterparts focusing on best execution and liquidity.
• Potential to grow into an associate PM or systematic quant role.

REQUIREMENTS

• Bachelor’s degree in any discipline.
• Strong interest in fixed income trading.
• Excellent written and verbal communication skills.
• Tenacious, detail-orientated, organized, and proactive about potential operational risks.
• Strong problem solving skills.
• Ability to multitask in a fast paced environment.
• Exposure to SQL or Python a plus.
• Commitment to the highest ethical standards.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

About the Team:

A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business.

Role/Responsibilities:

• Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals
• Perform feature engineering with order book tick data at intraday to daily horizons
• Perform feature combination using various modeling techniques ranging from linear to machine learning models
• Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
• Help drive the growth of the investment process and research capabilities of the team
• Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
• Assist in building, maintenance, and continual improvement of production and trading environments

Requirements:

• MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
• 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record
• Knowledge of market microstructure for futures and/or FX
• Prior experience with tick data based feature generation, modelling, and monetization
• Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
• Collaborative mindset with strong independent research abilities
• Commitment to the highest ethical standards

Job Description

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

• Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
• Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
• Improving research and trading tools and infrastructure

Desirable Candidates

• Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
• Strong programming experience in Python with production-level coding quality
• Experience with Unix environment and shell scripting
• Experience with cloud computing, ideally AWS and Databricks
• Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
• Knowledge of version control (Git) and software CI/CD tools and lifecycle
• Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
• Knowledge of statistics and machine learning is a plus
• Willing to take ownership of his/her work, working both independently and within a small team
• Prior experience in the financial services industry is not required
• Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Role: 
The Broker Data Associate will play a critical role in helping the business manage and strengthen sell-side relationships through broker data and research by: 
•    Helping manage relationships with sell-side brokers for broker data and research feeds
•    Providing insights into the sell-side data offerings and identify opportunities to expand  data partnership 
•    Acting as a point of coordination between sell-side brokers and internal teams on data-related initiatives and requests 

Responsibilities:
•    Help build and scale data relationships with our existing and new brokers 
•    Act as a liaison to address day-to-day requests around broker data 
•    Onboard new broker datasets through the entire lifecycle, including collaborating with Compliance, Legal, etc. 
•    Leverage sell-side insights to understand data landscape and hedge fund trends 

Requirements: 
•    Bachelor’s or master’s degree (with strong academic record)
•    3+ years of relevant experience 
•    Financial industry experience required; sell-side experience is a plus 
•    Experience working with data sourcing and management is a plus
•    Ability to be manage, prioritize, and execute tasks in a fast-faced, multitasking environment 
•    Ability to uphold compliance framework and IP sensitivity framework 
•    Strong oral and written communication skills
•    High level of attention to detail
•    Intellectual curiosity and love for proactive learning  
•    Strong interpersonal skills  
•    Commitment to the highest ethical standards 

Summary
We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space.

Role/Responsibilities:

• Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives.
• Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters.
• Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment.
• Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation.
• Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity.
• Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management.
• Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits.
• Track and analyze P&L drivers on a daily basis and provide attribution reports.
• Hedge exposures dynamically using equity, credit, and derivative instruments.
• Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies.
• Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution.

Requirements:

• Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred.
• 3+ years of experience in convertible bond trading with a quant/programming skillset.
• Strong understanding of credit markets, bond math, equity derivatives, and volatility analysis.
• Proficiency in modeling convertible securities and scenario analysis.
• Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb).
• Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required.
• Excellent communication skills and ability to work in a fast-paced, team-oriented environment.
• Commitment to the highest ethical standards.

DESCRIPTION

We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact.

RESPONSIBILITIES

• Build start-of-the-art deep learning models to process large scale unstructured datasets.
• Engage with vendors to understand characteristics of datasets.
• Analyze datasets to generate descriptive statistics and propose potential applications of data.
• Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
• Research new technologies for efficient data management and data retrieval.

REQUIREMENTS

• PhD or Master’s degree in computer science, data science, statistics or other quantitative discipline. Bachelor's degree with extensive relevant work experience will also be considered.
• At least 3 years of experience in NLP, computer vision, speech, or a related field.
• Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training.
• Excellent coding skills in Python.
• Programming skills in SQL.
• Experience working with large data sets.
• Strong oral and written communication skills.
• Strong team player.
• Financial industry experience preferred but not required.
• Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred.
• Commitment to the highest ethical standards.

Role

Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies.

Responsibilities

• Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models
• Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and TC models; P&L attribution, etc.
• Proactively search for and prioritize new ideas and datasets for alpha potential
• Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers and traders on the team 

Requirements

• PhD or Master’s degree in Economics, Finance, Statistics, Mathematics, Physics, or other quantitative discipline
• 2+ years of experience developing statistical and fundamental alpha signals, risk factors for single name credit, equities, or options. Demonstrated ability to conduct research utilizing large data sets
• Experience with FICC, credit or option pricing models is preferred
• Experience with numerical optimization methods is a plus
• Solid programming skills: understanding of the object-oriented programming and CI/CD framework. Proficiency in Python, including with packages used for data research, best practices of coding style, etc. ­
• Strong communication skills
• Willingness to take ownership of his/her work, working both independently and within a team

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

ROLE

A Cubist portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher. 

RESPONSIBILITIES

• Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.)
• Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events
• Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies
• In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes
• Proactively search for alternative, unstructured data sets with signal potential for corporate credit

REQUIREMENTS

• Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline
• 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role 
• CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus
• Some programming skills are a plus (e.g., Python) and a strong self-learner
• Tenacious, detail-orientated, and organized
• Strong communication skills
• Team player, driven and collaborative

Summary

We are looking for a detail-oriented and dedicated Administrative Assistant to provide support to our Portfolio Managers and Analysts within our Point72 office in New York, NY.

What you’ll do

The Administrative Assistant will provide administrative support to one or several investment teams including Portfolio Managers and Research Analysts. Specifically, you will:

• Strategically partner with investment team(s) to help alleviate workload and create efficiencies
• Manage calendars and conference calls, make appointments, book conference rooms, organize meetings
• Coordinate domestic and international travel arrangements
• Create and process expense reports
• Manage phone coverage for team and set up conference calls as needed
• Develop and maintain strong working relationships with internal and external partners
• Work on special projects as needed

What’s required

• 2+ years of relevant work experience
• Bachelor’s degree from an accredited university
• Capacity to multitask, effectively prioritize and adapt to an ever-changing work environment
• Bring a “roll up your sleeves and get the work done” mentality and a sense of urgency and attention to detail to requests and projects
• Excellent communication and ability to interact with people of all levels in a confident and professional manner
• Strong attention to detail; can keep track of multiple projects and work through abstract issues in an organized and efficient manner
• Proficient knowledge of Microsoft Outlook, Excel, and Word
• Strong industry knowledge preferred
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer Opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

The annual base salary range for this role is $90,000-$110,000 (USD), which does not include overtime compensation, discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

ROLE/RESPONSIBILITES

• Perform rigorous and innovative research to discover systematic anomalies in equity market
• End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
• Identify and evaluate new datasets for stock return predictions
• Maintain and improve the portfolio trading in production environment

REQUIREMENTS

• MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics
• 1+ years of work experience in systematic alpha research in equities
• Experience developing short term alpha signals (intraday or a few days) is a plus
• Demonstrated proficiency in R or Python
• Strong command of foundations of applied statistics, linear algebra, and time series models
• Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
• Strong knowledge of financial markets
• Highly motivated, willing to take ownership of his/her work
• Collaborative mindset with strong independent research ability

JOB RESPONSIBILITIES:

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.

Key responsibilities may include:

• Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
• Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
• Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:

• Master’s or PhD in machine learning, computer science, statistics, or related fields.
• Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
• Prior research experience utilizing machine learning over large, possibly noisy, data sets.
• Strong analytical and quantitative skills, and a detail-oriented mindset.
• Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
• Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
• Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
• Commitment to the highest ethical standards.

Job Description

We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams. 

Desirable Candidates

• Undergraduate or graduate candidates in computer science or engineering
• Significant experience in Python, C++, C, or Java
• Serious interest in systems programming (e.g. Linux kernel development, compilers, embedded systems, networking, file systems, debuggers)
• In-depth understanding of how userland programs run on Linux and interact with the kernel
• Some basic knowledge of Git, databases (e.g. MySQL), and web development frameworks is a plus
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creation of in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

REQUIREMENTS 

• PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

JOB DESCRIPTION

Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
• Superb analytical and quantitative skills, along with a healthy streak of creativity.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Passion for seeing research through from initial conception to eventual application.
• Curiosity about financial markets
• Strong scientific programming in Python, R or Matlab.
• Empirical, detail-oriented mindset.
• Sense of ownership of his/her work, working well both independently and within a small collaborative team.

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

JOB DESCRIPTION

Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO.

PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.

The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.

RESPONSIBILITES

• Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction
• Form top-down views on which strategies offer the best risk/reward for the firm
• Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
• Quantify market drivers to support pre-trade risk taking and decision making
• Communicate key findings to the team, PMs, and Co-CIOs
• Learn to develop in and contribute back to shared code base, reports, and research tools

DESIRABLE CANDIDATES

• 2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments
• Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline
• Experience with statistical models and essential methods of quantitative finance
• Some level of proficiency in quantitative programming (Python preferred)
• Highly analytical
• Good interpersonal skills
• Detail-oriented
• Self-starter
• Ability to work cooperatively in a team-oriented, fast-paced environment
• A commitment to the highest ethical standards and to act with professionalism and integrity

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Role/Responsibilities

• Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
• Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
• Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
• Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
• Stay current and report on changes in market microstructure.

Requirements

• Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
• A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
• Solid understanding of market impact.
• Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
• Strong knowledge in macro products, including FX and bonds, is a plus.
• Commitment to the highest ethical standards. 

The annual base salary range is $125,000-200,000 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

A CAREER WITH POINT72’S PORTFOLIO CONSTRUCTION & ANALYTICS TEAM

Point72 is seeking an entry-level Quantitative Portfolio Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the Chief Investment Officer (CIO).

PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.

WHAT YOU’LL DO

As a member of a growing central analytics team, you will:

• Analyze Investment Strategies to identify strengths and weaknesses, partnering with Portfolio Managers to make improvements based on their idea generation, portfolio construction, and trading
• Forecast performance of investment strategies to drive capital allocation
• Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
• Quantify market drivers to support risk taking and decision making
• Communicate key findings to the team, PMs, and Co-CIOs
• Develop in and contribute back to shared code base, reports, and research tools

WHAT’S REQUIRED  

• Internship or project experience in quantitative research or portfolio management
• Expected degree (Bachelors, Masters, or Ph.D.) in Finance or a STEM-related field, to be conferred Fall 2025 or Spring 2026
• Intermediate or advanced proficiency in Python
• Experience with statistical models and essential methods of quantitative finance
• Excellent attention to detail, organization, and project management skills
• Ability to operate productively in a fast-paced, team-oriented environment
• Strong verbal and written communication skills
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBTQ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Develop, test and deploy data pipelines, applications and services
• Re-shaping, aggregating, enhancing and creating features from datasets
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Defining and automating qualitative data alerts and reports
• Partnering closely with investment teams to ensure their data requirements are met
• Perform preliminary analysis and research to be shared with investment teams

REQUIREMENTS 

• Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

ABOUT CUBIST

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

RESPONSIBILITIES

• Perform rigorous applied research to discover systematic anomalies in equities markets
• Present actionable trading ideas and enhance existing strategies
• Identify short term opportunities in the high frequency/intraday space
• Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation)
• Contribute towards the team’s research tooling and its efficiency
• Help establish a collaborative mindset and shared ownership

REQUIREMENTS

• Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
• 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
• Fluency in data science practices, e.g., feature engineering, signal combining
• Technically comfortable handling large datasets
• Comfortable coding in both C++ and Python in a Linux environment
• Exposure working with cloud computing platforms such as AWS
• Highly motivated and willing to take ownership of his/her work
• Collaborative mindset with strong independent research ability
• Commitment to the highest ethical standards

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers on a daily basis.
• Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
• Performing research to acquire historical and production data sources needed to build investment models.
• Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
• Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Using quantitative models to value securities.
• Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
• Developing aspects of successful statistical models, focusing on forecasting and optimization.
• Expanding trading universe and volume and expanding to other exchanges and products.

REQUIREMENTS

• Advance degree (Masters or Ph.D.) in a computational or analytical field.
• Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
• Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior. 

Role:

Point72 is looking for a Fund Flow Strategist to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. 

Responsibilities:

• Create content targeted at discretionary portfolio managers.
• Refine and advance current product offerings.
• Assist in daily workflow contributing to internal communications and data production.
• Contribute to research efforts formalizing and building new models.
• Work with PMs and analysts to answer questions and identify needs and additional features.

Requirements:

• Undergraduate degree or higher in a technical field.
• Passion for research, markets, and problem solving.
• Strong written and verbal communication skills.
• Strategy, data science, or quant research experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment.
• Commitment to the highest ethical standards.

Role:

Point72 is looking for a Quantitative Developer to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. 

Responsibilities:

• Partner with researchers to release high-quality production code
• Integrate AI into written content creation, internal client service, and team operations
• Develop generic frameworks to build flow datasets across equities, credit, and macro
• Troubleshoot and resolve production issues

Requirements:

• Undergraduate degree or higher in a technical field
• Strong programming skills in Python
• Strong orientation towards team success and desire to mentor teammates
• Passion for technology and markets
• Strong written and verbal communication skills
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
• Commitment to the highest ethical standards

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role/Responsibilities:

We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.

Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.  Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.

Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features.

Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. 

Requirements:

• PhD or PhD candidate in machine learning, computer science, statistics, or a related field
• Experience with sequential modeling and time series forecasting using deep learning
• Experience with deep neural networks and representation learning
• Prior experience working in a data driven research environment
• Experience with translating mathematical models and algorithms into code
• Proficient in programming languages such as Python and R
• Experience with machine learning software libraries such as TensorFlow or PyTorch
• Experience with natural language processing technology a strong plus
• Excellent analytical skills, with strong attention to detail
• Interest in applying machine learning to finance
• Collaborative mindset with strong independent research ability
• Strong written and verbal communication skills

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Point72 Asset Management is seeking a Risk Manager specialized in Gas and Power Trading to join our Risk Management & Quantitative Research (RQR) team. 

The RQR team plays a vital role in the firm’s investment process, building a deeply rooted culture of efficient risk management and factful performance attribution. Risk managers will lead research efforts to identify opportunities for improved risk management, investment behavior, and portfolio construction, with the goal of helping the firm deliver superior risk-adjusted performance. The paramount mission of the team is to protect the firm from excessive levels of exposure and ensure that risk-taking is efficient and deliberate.

The Risk Manager will:

• Focus on the risk and activities of all Gas and Power Trading PMs as well as overall such risk across the Global Macro and Cubist Macro businesses. More specifically, this includes:
  • Identifying, capturing, and communicating material risks of the business, including credit, tail risk, liquidity, and convexity.
  • Ensuring that risk-taking at the individual portfolio level and at the firm level is efficient and deliberate, by setting appropriate risk guidelines and limits.
  • Developing and advancing stress testing and VaR frameworks.
  • Developing and maintaining a framework for capital allocation to maximize risk-adjusted returns and profitability at the various business levels and at the firm level.
  • Actively managing the firm’s risk exposures through regular meetings, analysis and insights.
  • Leading research efforts to develop innovative risk management approaches, tools and analytics by leveraging the collective knowledge of the platform. The goal is to enhance the quality of performance and improve the firm’s risk-adjusted return.
  • Enhancing management’s understanding of investment performance by developing intuitive and efficient frameworks for performance attribution and educating all internal constituencies on those frameworks.
• Provide additional support with other risk managers in managing the market risk across the Macro business.
• Manage and mentor Quantitative Analysts on the team.

We seek candidates with:

• Five or more years of experience as a risk manager or a portfolio manager, directly related to US and European power & gas products.
• Solid energy product knowledge and analytical rigor in terms of pricing models, risk sensitivities and the best practice for risk aggregation in a portfolio context
• Detailed understanding of risk management, portfolio construction, and trading.
• High level of proficiency in SQL and quantitative programming (e.g. Python, MATLAB, R); experienced in dealing with large data sets.
• Strong communication skills and prior experience interacting with portfolio managers.
• The ability to manage multiple tasks independently and deadlines in a fast-paced environment.
• Ability to proactively seek new ideas and solution to improve the status quo.
• Ability to work cooperatively with all levels of staff as part of a team.
• Excellent interpersonal skills and “emotional intelligence” – we seek a demonstrated ability to build relationships both internally and externally.
• Strong communication skills – an ability to clearly and concisely articulate complex ideas to senior management and portfolio managers is critical.
• A commitment to the highest ethical standards and to act with professionalism and integrity.

Point72 offers substantial career opportunities:

• We are a workplace where performance and integrity go hand in hand
• We are committed to personal and professional development
• We expect and reward innovation and creativity
• We create opportunities for long-term careers
• We measure success by the merits of the work, its quality and the results obtained

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

About Cubist: 

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About our Team: 

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL DE Application” in the subject line.

Role:

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities:

• Improve data ETL pipeline and build tools to analyze new data efficiently.
• Build technologies to bolster research & trading efficiency.
• Expand to new markets and asset classes.
• Manage day-to-day operations in a fast-paced environment.

Requirements

• Master/PhD degree in math, computer science, engineering, or other related fields.
• 1-3 years of professional experience in software development or data science/analytics.
• Strong combination of quantitative skills and programming skills.
• Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
• Familiarity with the Linux environment.
• Excellent written and verbal communication skills.
• Willing to work in a fast-paced start-up environment.
• Commitment to the highest ethical standards.

ABOUT PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.

ROLE SUMMARY

Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:

• Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
• Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
• Deliver research findings to investment teams, portfolio managers, and other internal clients
• Work within a team to help drive technical innovation through a collaborative R&D process

WHAT EXCITES YOU

• Staying current on the evolving alternative data market and its role in discretionary investing
• Speaking with experts both inside and outside the Firm to understand data needs and offerings
• Multi-tasking and switching gears frequently to address the needs of the business
• Analytical thinking and ability to sift through large unstructured data sets
• Working in a fast-paced, dynamic environment
• Working as part of a cross-functional team made up of investment, research, and compliance professionals
• Experiment-based approach with freedom to innovate

WHAT EXCITES US

• Excellent attention to detail, organization, and project management skills
• Strong verbal and written communication skills
• Superb business intuition and a solution orientated, methodological approach to problem solving
• Ability to collaborate and build relationships across business units within the Firm
• People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
• Adherence to the highest ethical standards working closely with the Firm’s Compliance team

WHAT’S REQUIRED  

• Demonstrated interest in machine learning, statistical models, and data mining tools
• Masters/PhD in a quantitative discipline w/ 1+ year of professional experience
• Strong programming skills in Python (preferred), R, Spark, SQL
• Exceptional understanding of statistics and advanced modeling techniques
• Ability to communicate complex analyses and results clearly

WHAT SUCCESS LOOKS LIKE

• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, and work product

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

The annual base salary range for this role is $125,000 - $150,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.  

Role/Responsibilities:

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc.

Responsibilities include:

• Exploring and combining rich internal and external textual datasets
• Building GenAI solutions, leveraging both internal models and external APIs
• Formulating research hypothesis to derive alpha
• Post-training models for specific tasks
• Benchmarking LLM approaches internal tasks

We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact.

Requirements:

• Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline
• Experience in NLP, particularly LLMs.
• Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
• Data science stack familiarity
• Interest in financial markets
• Collaborative mindset

About Point72:

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent.  We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

ROLE/RESPONSIBILTIES:

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.

Responsibilities may include:

• Using NLP to construct features from varied datasets
• Formulating research hypotheses to derive alpha
• Building and testing the performance of trading signals based on NLP and financial features
• Launching identified signals into production

REQUIREMENTS:

• Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
• Proficient in Python and general software engineering principles (github, testing, dev workflow)
• Strong understanding of machine learning and statistics
• Prior research experience preferred
• Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
• Data science stack familiarity preferred
• An interest in financial markets
• Great attitude
• A collaborative mindset
• Commitment to the highest ethical standards

ABOUT POINT72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.