The Cboe Risk and Market Analytics (RMA) group is seeking a Quantitative Analyst to join our team. RMA provides derivatives valuation, risk analytic, and margin services that enable institutional clients to manage and report risk, improve hedging and investment strategies, and enhance execution quality.
This role will focus on risk model research and development to extend existing models and assist in the development of new models. This is an opportunity to advance knowledge of derivatives and portfolio risk, and work within a team of people with deep experience in financial markets and computer science, who are committed to creating high quality risk data for our clients.
Review, validate, and assess performance of portfolio and margin models including VaR approaches that use simulation methods including historical and Monte Carlo simulation.
Work with Sales and Client Services to assist clients with operating, testing, and understanding results of Cboe Risk analytics
Partner with Technology teams in defining and evaluating reference and market data to support risk models
Masters or PhD in a quantitative discipline such as mathematics, statistics, engineering, physics. Linear algebra and probability theory focus is valuable.
1+ years of experience ideally with exposure to financial products (e.g. equities and options) and modeling experience such as factor models, multivariate analysis, PCA
Experience with margin or market risk including VaR in any asset class is a plus
Familiarity with SQL, and at least one of: R, Python, or Java
Experience (academic or professional) in optimization problems is a plus
Strong interest in working and communicating within a team to solve problems. Experience in gathering and documenting model requirements is valuable.
Experience in communicating with clients around analytic and data issues is a plus
_Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. _