Quantitative Risk Analyst - Credit - New York - job 677375


Date: 04/08/2021

City: New York, New York

Employment type: Full-time

Point72 Asset Management is seeking a Quantitative Risk Analyst to join its Risk & Quantitative Research 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. Quantitative Risk Analysts perform research 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 improper levels of exposure and ensure that risk-taking is always efficient and deliberate.

The ideal candidate is an intelligent and creative problem solver who can articulate one's ideas effectively to a diverse audience in a fast-paced environment. Experience in quantitative investment research is a plus. We are looking for a candidate who is well-versed in credit strategies and has a reasonable understanding of credit products, ranging from corporate bonds, credit default swaps, total return swaps, ETFs, and their related derivatives (such as options, swaptions, etc.).

Job Description

  • Analyze portfolios and strategies to understand the drivers of performance and develop reports that summarize the risk profiles and to facilitate efficient risk management as well as improve understanding of portfolio construction and investment behavior.

  • Help design and improve stress testing, Value at Risk and various limit frameworks for portfolios of diverse products and strategies.

  • Evaluate and validate price and risk models to ensure the soundness and correct application of the models.

  • 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 Risk Managers and developers on the design and development of risk management and infrastructure.

  • Analyze large structured and unstructured datasets, such as internal trade/market data, and running numerical simulations and statistical analysis.

Desirable Candidates

  • Undergraduate or higher degree in a quantitative discipline

  • 5+ years of work experience in a quantitative research, trading or risk management capacity related to credit markets

  • Strong background in statistics, math, and econometrics

  • High level of proficiency in SQL and quantitative programming (Python, MATLAB, R)

  • The ability to manage multiple tasks and deadlines independently in a fast-paced environment

  • Ability to proactively seek new ideas and solutions to improve the status quo

  • Strong work ethic – reliable and accountable, good attention to detail

  • Strong communication skills, with the ability to communicate clearly and concisely both verbally and in writing

  • Ability to work cooperatively with all levels of staff as part of a team

  • A commitment to the highest ethical standards and to act with professionalism and integrity

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