Careers at Point72

Senior Software Engineer

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team 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. About the Software Engineer Internship The Software Engineer Internship at Point72 provides individuals interested in pursuing a career in technology at an investment firm with a valuable, hands-on experience. During the program, you will gain exposure to: Developing and enhancing software applications that support asset management functions, including trading systems, research platforms, and data analysis tools Code reviews, maintaining existing codebases, and ensuring software scalability and integrity Technologies and methodologies like AI, machine learning, big data, and cloud computing to solve complex problems Collaborating with cross-functional teams to ensure technology solutions align with business goals and processes Documenting and presenting design decisions, code, and functionalities to team members and stakeholders Interacting with senior-level professionals The fast-paced, competitive hedge fund world and industry best practices Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored by experienced professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their expertise and career paths Get hands on access to the wealth of tools and resources that Point72 employees use every day Gain exposure to groups and functions with unique responsibilities and perspectives on our industry Develop technical, writing, and presentation skills Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Market Intelligence What’s Required Bachelor’s degree expected between Fall 2027 and Spring 2028 Strong programming skills in one or more of the following languages: Python, Java, C++, or similar Familiarity with software development methodologies and tools (e.g., Git, JIRA) Ability to manage multiple tasks and deadlines in a fast-paced environment Strong attention to detail Strong analytical, writing, verbal communication, and technical skills Demonstrated ability to work cooperatively with all levels of the team Ability and willingness to conduct yourself with professionalism and integrity at all times 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. For more information, visit https://point72.com/ . The annual base salary is $130,000 (USD), which will be prorated based on internship start and end date; this does not include overtime compensation. 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.

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll support Analytics team members as they work 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 industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us. About the MS/PhD Data Scientist Internship Our data scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions. During the 10-week program based in our New York office, you will gain exposure to: A highly collegial environment that emphasizes teaching and learning as a team Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients Driving technical innovation through a collaborative R&D process Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored by experienced professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their expertise and career paths Get hands on access to the wealth of tools and resources that Point72 employees use every day Gain exposure to groups and functions with unique responsibilities and perspectives on our industry Develop technical, writing, and presentation skills Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology What’s R equired Pursuit of master’s or PhD degree in a quantitative discipline Demonstrated interest in machine learning, statistical models, and data mining tools Strong programming skills in Python, R, Spark, and/or SQL Exceptional understanding of statistics and advanced modeling techniques Ability to communicate complex analyses and results clearly 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. For more information, visit https://point72.com/ . The annual base salary range is $130,000–$175,000 (USD), which will be prorated based on internship start and end date; this does not include overtime compensation. 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.

Senior Data Engineer, Proprietary Research London A Career with Point72's Market Intelligence team On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. 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 Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools. Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products. Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements WHAT’S REQUIRED 5+ years of experience in Data Engineering, Software Engineering or related field 2+ years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/ focus on backend infrastructure Experience with cloud platforms and services for data storage and compute (for example AWS, Google Cloud Platform, or Azure) Experience with orchestration technologies like Airflow Knowledge of/experience with langraph/langchain or similar frameworks, embedding models, vector, graph databases is a plus A strong drive to staying current with AI advancements and translating emerging techniques into practical, real-world applications. 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: Private Medical and Dental Insurances Generous parental and family leave policies Volunteer opportunities Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community Mental and physical wellness programmes Tuition assistance Non-contributory pension 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/

A CAreer with point72’s TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Help design, develop, and evolve a Python-based analytics platform used across our macro business. Shape Python APIs and user-facing interfaces that provide access to pricing, calibration, curve construction, scenario, valuation, and risk analytics across macro products and related derivatives. Design and deliver robust service interfaces and APIs that connect users, applications, and downstream systems to production analytics capabilities. Build and maintain analytics workflows, ensuring traders, quantitative researchers, and risk users can access analytics through practical, reliable, and well-designed spreadsheet interfaces. Work closely with quantitative researchers, traders, risk users, and technology partners to understand workflows, translate requirements into clean platform capabilities, and improve how users interact with analytics. Partner with C++ analytics engineers and quantitative developers to expose production analytics through stable Python APIs, services, and front-end integration points. Offer technical expertise on API design, service architecture, interface design, performance, reliability, and long-term maintainability. Contribute to releases, production support, performance improvements, and the investigation of analytics, integration, pricing, or risk discrepancies. Provide technical guidance and mentorship to developers when appropriate. What’s REQUIRED 7+ years of experience developing and supporting production Python platforms, APIs, services, or analytics applications in macro, trading, risk, pricing, or related financial markets environments Experience building or integrating with service-oriented platforms, including practical exposure to gRPC, Protocol Buffers, service contracts, versioning, backward compatibility, and production service support. Strong Excel skills, including experience supporting business-critical spreadsheet workflows for trading, risk, analytics, pricing, or related financial markets use cases. Experience integrating Python applications with lower-level analytics libraries, services, data platforms, or other production systems. High-level understanding of quantitative analytics concepts such as pricing, valuation, calibration, curve construction, scenarios, sensitivities, and risk, with the ability to work closely with quantitative researchers on model-driven requirements. Experience improving the performance and reliability of data-intensive or analytics-driven Python systems, including profiling, caching, asynchronous execution, scalable computation, and production troubleshooting. Strong communication skills and the ability to collaborate effectively with quantitative researchers, traders, risk users, and technology partners. 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 LGBT+ 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 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 range for this role is $200,000-$300,000 (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 TITLE Mobility Engineer, End User Technology A CAreer with point72’s Technology TEAM As Point72 continues to reimagine 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 and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity. Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm’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. What you’ll do We are seeking a Mobility Engineer with deep expertise in Microsoft Intune to own and evolve Point72’s modern endpoint and mobility platform. This role is heavily focused on mobility and modern device management, while also supporting Windows, macOS, mobile devices, and Windows 365 Cloud PCs.The ideal candidate will be responsible for the end-to-end lifecycle management of corporate and BYOD endpoints, ensuring a secure, seamless, and high-performing end-user experience across the firm. Lead the end‑to‑end management of mobile and endpoint devices using Microsoft Intune and other enterprise MDM tools. Design, deploy, and support Intune for iOS, Android, Windows, macOS, and Windows 365 environments. Create and manage configuration profiles, compliance policies, security baselines, and application deployments. Implement Windows Autopilot and optimized enrollment processes to deliver a seamless onboarding experience. Integrate Intune with Entra ID, Conditional Access, and Defender to enforce secure, identity‑based access. Apply encryption, MFA, remote wipe, and continuous monitoring to meet security and regulatory requirements. Deliver Tier 2/3 endpoint support, investigate complex issues, and perform root cause analysis. Use PowerShell, Microsoft Graph, and scripting to automate tasks and improve operational efficiency. Partner with support and application teams to reduce recurring issues and enhance device usability. Oversee vendor relationships, device lifecycle, inventory, reporting, and maintain clear technical documentation. What’s REQUIRED Bachelor’s degree in IT, Computer Science, or equivalent experience, with 7+ years in enterprise mobility and endpoint management. Strong hands-on experience using Microsoft Intune in a production enterprise environment for device and application management. Proven experience managing iOS/iPadOS, Android (corporate & BYOD), Windows 10/11, macOS, and Windows 365 Cloud PCs. Solid understanding of Entra ID (Azure AD), Conditional Access, Microsoft Defender for Endpoint, and zero‑trust security principles. Experience working in hybrid Active Directory environments, including Group Policy (GPO) management. Proficiency in PowerShell and automation engineering to improve endpoint operations and efficiency. Ability to lead and prioritize complex troubleshooting across the organization, perform root cause analysis, and recommend long‑term risk mitigation. Strong problem-solving, analytical, communication, and collaboration skills with a strong focus on end‑user experience and satisfaction. Ability to work independently or in teams, remain composed in fast‑paced environments, and provide on‑call or weekend support when required. 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: Health care benefits Maternity, Adoption & related leave policies Generous paternity and family care leave policies Employee Assistance Program & Mental wellness programs Transportation support Tuition assistance 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/ .

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU’LL DO Modernize the profit-and-loss reporting platform that helps finance, management, and investment teams understand firm performance with greater accuracy and speed Design scalable data pipelines and reconciliation workflows that improve the reliability, transparency, and timeliness of critical finance data Build analytical applications and reporting capabilities that turn complex valuation and performance data into clear, actionable insights Develop validation and adjustment tools that strengthen controls, reduce manual effort, and support accurate reporting across business processes Partner with controllers, valuation specialists, and Technology colleagues to translate business needs into robust, maintainable software Own features through design, development, testing, deployment, and ongoing support in a collaborative engineering environment Analyze data flows and calculation logic to anticipate reporting needs, identify gaps, and improve end-to-end process quality Create intuitive visualizations and user interfaces that help stakeholders investigate trends, exceptions, and performance drivers Improve platform resilience through sound engineering practices, production support, monitoring, and continuous refinement WHAT’S REQUIRED 7+ years of programming experience with training in computer science or a related technical field Strong data engineering, analytics, ETL, and reconciliation skills using T-SQL, Python, and Airflow Strong software development skills using Python or C# Experience designing, developing, supporting, and coordinating users for end-to-end systems Strong data visualization and front-end development skills using JavaScript and React Ability to build systems and workflows with high standards for numerical accuracy, data quality, and operational reliability Excellent written and verbal communication skills with a collaborative, team-oriented approach to solving problems 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: Sports card Private life insurance Private medical and dental care, with vision allowance Private pension scheme Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Business travel accident insurance Employee assistance program Educational assistance reimbursement 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/. Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We're looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.

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. You will gain exposure to a variety of activities, which may include: Developing automated equities trading applications and real-time analytics Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases Work alongside quant researchers developing quant signals. Improving signal research and trading tools infrastructure Desirable Candidates Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm Strong programming experience in Python with production-level coding quality Experience with containerization and orchestration technologies, particularly Docker Experience with Unix environment and shell scripting Knowledge of profiling (e.g. VisualVM, async-profiler) 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 a plus Commitment to the highest ethical standards

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. You will gain exposure to a variety of activities, which may include: Developing automated equities trading applications and real-time analytics Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases Work alongside quant researchers developing quant signals. Improving signal research and trading tools infrastructure DESIRABLE CANDIDATES Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm Strong programming experience in Python with production-level coding quality Experience with containerization and orchestration technologies, particularly Docker Experience with Unix environment and shell scripting Knowledge of profiling (e.g. VisualVM, async-profiler) 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 a plus Commitment to the highest ethical standards

JOB TITLE Senior Data Engineer, Proprietary Research A CAREER WITH POINT72’S 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 industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. 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. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build Data & AI Platform to transform structured and unstructured data into actionable insights. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools that help extract the most value out of Point72’s data assets. In this role, you will: • Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets. • Develop reusable software components, libraries, and APIs to support experimentation and production deployment. • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant. • Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies. • Optimize system performance, cost, and reliability through benchmarking and continuous improvement. • Explore emerging Data and AI technologies, run proof of concepts, and convert successful ideas into business deliverables. • Partner with investment, research, data science, and compliance teams to turn research needs into production-ready data products and analytics. • Provide hands-on technical leadership, influence architecture and team processes, and support development efforts across engineers and stakeholders. • Use AI as a core operating layer by deploying LLM-based tools and building agentic workflows for business impact. • Demonstrate strong project management, business intuition, collaboration, ethical standards, and a solution-oriented mindset in a fast-paced environment. WHAT’S REQUIRED • 1. 5+ years of experience in Data Engineering, Software Engineering, or a related field. • 2. 2+ years of strong hands-on Python development experience. • Experience in system design and leading development efforts involving multiple contributors. • Strong knowledge of distributed data processing frameworks such as Spark. • Experience building scalable APIs, backend infrastructure, and software applications. • Hands-on experience with cloud platforms and services for data storage and compute, such as AWS, Google Cloud Platform, or Azure. • Experience with workflow orchestration technologies such as Airflow. • Exposure to LangGraph, LangChain, embedding models, vector databases, or graph databases is a plus. • Strong interest in staying current with AI advancements and applying emerging techniques to real-world use cases. • Demonstrates key values including integrity, ownership, commerciality, humility, adaptability, and the ability to elevate the team through strong work ethic and domain knowledge. • 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: • Health care benefits • Maternity, Adoption & related leave policies • Generous paternity and family care leave policies • Employee Assistance Program & Mental wellness programs • Transportation support • Tuition assistance 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 .