Senior Quantitative Analyst - Equities

Point
72 Asset Management is seeking a Senior Quantitative Analyst to join its Risk Management & Quantitative Research team.

The RQR team plays a critical role in Point
72’s investment process by fostering a culture of disciplined risk management and rigorous performance attribution. The team conducts quantitative research to identify opportunities to improve risk management, portfolio construction, and investment behavior, with the goal of delivering superior risk‑adjusted returns. A core mission of the team is to ensure that risk‑taking across the firm is deliberate, efficient, and well understood.

This role is ideal for a creative and analytical problem solver who can clearly communicate complex ideas to a diverse audience in a fast‑paced environment. Experience in equity quantitative research with hands‑on experience of working with and enhancing equity factor models is preferred.

Point
72 is a global asset management firm led by Steven Cohen that uses Discretionary Long/Short, Macro, and Systematic strategies to invest in eight offices across the globe. We look for people who want to build a career with us – people who want to innovate, experiment, and be the best at what they do – while adhering to the highest ethical standards.

• Conduct risk model research – evaluate and enhance equity risk and factor models by researching custom factors and integrating them into existing models and analytics.
• Investigate a portfolio or a strategy to understand the drivers of performance and develop a report that summarizes the risk profile and facilitate efficient risk management as well as improved understanding of portfolio construction and investment behavior.
• Drive improvements in stress testing, Value at Risk and various risk guidelines around concentration and liquidity etc.
• Conduct research to develop innovative risk management approaches, tools and analytics to help improve performance and better manage risk and deliver those research findings to senior management.
• Work with developers on the specification, design and development of risk management and performance analytics and attribution infrastructure.

Most of the above tasks will require analyzing large structured and unstructured data sets such as internal trade data, risk model data, fundamental data, sentiment data and running simulations and back‑tests.

• Five or more years of experience in quantitative research or in a risk management capacity covering equities investing.
• Strong background in statistics, math, and econometrics.
• Ability to manipulate and synthesize large data sets.
• High level of proficiency in SQL and quantitative programming (Python, MATLAB, R).
• Intellectual curiosity and depth of skills enabling him/her to perform ad‑hoc tasks and special projects.
• High‑energy and relentless personality with a desire to proactively ideate opportunities and the ability to manage multiple tasks and deadlines in a fast‑paced environment.
• Excellent interpersonal skills and “emotional intelligence” – we seek a demonstrated ability to build relationships both internally and externally.
• Strong communications 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.

• 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.