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Verition Fund Management LLC

Quantitative Analyst - Securitized Products New York, New York, United States

Verition Fund Management LLC, New York, New York, us, 10261

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Overview New York, New York, United States

Verition Fund Management LLC (”Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. Our global risk team is looking for a Quantitative Analyst specifically with Securitized Products experience to join our team.

Responsibilities

Develop advanced tools to augment the processes of risk analysis and risk monitoring within the securitized product space. Analyze portfolios and strategies to identify the risk/return dynamics

Collaborate with risk managers and portfolio managers on topics including management of tail risk exposure, scenario analysis, usage of risk limits, portfolio construction, and capital allocation

Assist in the development and enhancement of pricing and risk models, stress testing and Value at Risk (VaR) methodologies for securitized products

Engage in research activities and develop new risk management strategies and analytical tools for investment teams and risk managers

Collaborate closely with the technology team to transition prototypes into operational production systems

Qualifications

Advanced degree (Masters/PhD) in Physics, Engineering, Mathematics, Statistics or related fields

Two or more years’ experience in programming in Python. Experience with Linux bash scripting and SQL.

Experience in deploying applications in production environment

Experience in production software development life cycle

Having good communication skills, great attention to detail and strong interest in technology

Knowledge of securitized products such as MBS, CMBS, ABS, CLO

Experience in prepayment and default modeling

Nice to have

Experienced in dealing with large data sets

Experience with Intex or Yieldbook

Experience in C/C++, Java or C# not required but is a plus

Knowledge of Excel functions and macros

Salary Range $135,000 - $180,000 USD

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