Manager, Quantitative Risk Analysis

Fidelity Investments • Jersey City, NJ

18h • $127,500 - $137,500

About The Position

Designs quantitative and qualitative analyses to tackle complex problems including portfolio risk profiles, security pricing and valuation, and machine learning (ML) forecasting. Participates in quantitative and financial modeling, including valuation and pricing, investment products, financial planning components, market events, and credit risk. Supports model validation projects across enterprise-wide business groups, assessing model design, inputs, methodologies, and key assumptions. Leverages Bloomberg, Excel, and statistical software (R, Python, MATLAB, or SQL) to perform risk management and solve complex problems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).
• Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).
• Demonstrated Expertise (“DE”) performing quantitative and qualitative analyses to validate or audit financial, statistical, and AI models, using Python, R, SQL, and Excel.
• DE developing or implementing mathematical methodologies, algorithms, and diagnostics, using QuantLib, GBM Simulator, Arch, and LightGBM or scikit-learn (for testing model stability, reliability, performance, and quality control of modelling data).
• DE implementing a comprehensive model risk management framework, policies, and procedures to identify, access, and mitigate enterprise-wide model risk.
• DE conducting back, stress, and sensitivity testing, and scenario analysis, to assess model robustness under different conditions, and creating insightful visual representations, using NumPy, SciPy, and Pandas.
• DE collaborating with individual contributors within model validation or model audit, research, and consultative projects -- defining project scope with business and risk leads, accessing and analyzing critical data, performing research, identifying and escalating key findings, and assessing impacts and potential solutions.
• DE delivering recommendations to business stakeholders, communicating complex quantitative findings, presenting feedback on methodologies, and describing and documenting edge cases through written and oral presentations, using Word and PowerPoint.

Responsibilities

• Collaborates with model developers and owners to ensure models used by associates and customers are reliable, high-quality, and support sound business decisions.
• Guides independent validation of quantitative models and reports findings to management, assessing market, financial, and operational risks.
• Works cross functionally with business units and senior leadership to enhance current model development.
• Ensures model owners have established effective standards, policies, and procedures.
• Confirms complete and accurate documentation for each model.
• Collaborates in the development and implementation of the Model Risk Management Framework by enforcing policies and procedures.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager