Senior Quantitative Analyst - Equities(W2 Citizens Only)

Role: Senior Quantitative Analyst - Equities
Perm Role
Location: NYC, NY

Point72 Asset Management is seeking a Senior Quantitative Analyst to join its Risk Management & Quantitative Research team.
The RQR team plays a critical role in Point72 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.
Point72 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.

The Quantitative Analyst will:
The Quantitative Analyst will:
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.

We seek candidates with:
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