Easter Seals Jobs

Develop, test, benchmark, and maintain equity risk mathematical/quantitative models that are used to measure risks (Value-at-risk figures) from market movement, of company’s trading and holdings (of stock, stock futures, and stock options). Perform research and development to improve company’s existing equity risk mathematical models. Work on methodology, development, and implementation of RNIV models - mathematical models to estimate risks that are not captured by the Value-at-Risk models. Generate risk model performance report for internal model validation team to review. Respond to model validation team questions and address their required actions. Provide business-as-usual support to equity market risk managers, including on-going risk model performance monitoring, equity market data quality control, and risk model test and submission for new business expansion. As part of company’s Risk Platform Transformation program, assist and guide the company to upgrade its equity risk analytic platform to achieve more accurate risk measurements and better performance.Requirements:Master’s degree (US or foreign equivalent) in Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related field plus three (3) years of experience in the job offered or in a related role*All of the required experience must have included experience with: utilizing fundamental theory and principles of mathematical finance including Fundamental Theorem of Asset Pricing, Ito calculus, stochastic differential equations and application, Black-Scholes Model, Martingale pricing, and changing numeraire technique; utilizing equity pricing models (vanilla and exotic); utilizing equity volatility models (local volatility models and stochastic volatility models); performing time series analysis; designing new time series statistical tests; understanding VaR models and VaR calculation methods; understanding historical VaR method and its implementation; carrying out firm level VaR abnormality investigation in a timely manner and coming up with remediations; working with SQL and Python; working with large data sets, implementing statistical tests, and performing data analysis on test results; utilizing high-quality typesetting system such as LaTeX or LyX; and utilizing third party data and risk vendor systems such as Bloomberg, Numerix, or EQF.This role entails hybrid work, with time split between working in our Jersey City, NJ office and flexibility to telecommute from another U.S. location.