Principal Quantitative Developer

Note: Fidelity will not provide immigration sponsorship for this position.

Description : Designs and develops investment risk analytics platforms to support quantitative risk analytics and data- driven risk modeling within an investment management context, with a focus on alternative investment products. Develops and maintains linear and non-linear risk analytics to support model calculation, validation, and stress analysis for portfolios and derivative instruments. Develops and enhances risk reporting processes to support derivative exposure measurement, leverage risk monitoring, and Value at Risk (VaR) analysis. Develops quantitative analytics using Python and SQL to compute portfolio-level risk measures and support ongoing risk monitoring. Supports reporting and visualization solutions using Python-based frameworks to enable effective consumption of portfolio risk analytics. Analyzes, cleanses, and prepares large scale investment and portfolio datasets using statistical and quantitative techniques to support risk analytics and oversight.

Partners with risk and portfolio managers to deliver quantitative, data‑driven investment and portfolio risk solutions across liquid and illiquid alternative investment products. Produces quantitative risk reporting and analytics to support monitoring of market, credit, liquidity, and derivatives risks for internal and regulatory purposes. Applies quantitative analysis to evaluate portfolio risk characteristics, sensitivities, and profit and loss (PnL) drivers, including those arising from derivative instruments, in support of portfolio construction, hedging, and risk decision‑making. Develops and maintains models, processes, and workflows used for enterprise risk generation and validation. Supports portfolio construction, validation, and reconciliation activities for market‑traded and over‑the‑counter (OTC) instruments. Ensures the accuracy, consistency, and reliability of portfolio data used in investment risk analytics and reporting. Identifies investment risk management challenges and contributes to data‑driven solutions in collaboration with stakeholders. Education and Experience : Bachelor’s degree in Quantitative Finance, Finance, Computer Science, Accounting, Management, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Quantitative Developer (or closely related occupation) performing quantitative and analytical evaluation of portfolio and derivative risk models within an investment management or trading environment to support portfolio construction, and risk management decisions.  Or, alternatively, Master’s degree in Quantitative Finance, Finance, Computer Science, Accounting, Management, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Quantitative Developer (or closely related occupation) performing quantitative and analytical evaluation of portfolio and derivative risk models within an investment management or trading environment to support portfolio construction, and risk management decisions. Skills and Knowledge : Candidate must also possess: Demonstrated Expertise (“DE”) validating and back testing portfolio and derivatives risk models against historical outcomes and benchmarks, using Python, R, and SQL; calibrating and validating model parameters and thresholds for market and derivatives risk measures, including expected shortfall, duration, leverage risk, liquidity risk, derivative exposure, option pricing models, and option sensitivity measures (Greeks), using Python and R; performing factor risk decomposition and non linear scenario generation, using MSCI RiskMetrics and MSCI Barra; producing Monte Carlo–based risk metrics and stress testing outputs for portfolios and