Manager, Quantitative Risk Analysis

Posted 2 Days Ago
Be an Early Applicant
Jersey City, NJ, USA
In-Office
128K-138K Annually
Mid level
Fintech
The Role
Lead validation and independent review of quantitative models for pricing, valuation, credit and market risk. Design and run statistical and ML analyses, stress and scenario tests, and ensure model governance, documentation, and stakeholder reporting using Bloomberg, Excel, Python/R/Matlab, and SQL.
Summary Generated by Built In
Job Description:

Position Description:

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.

Primary 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.

Education and Experience:

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).

Or, alternatively, 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).

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise (“DE”) performing quantitative and qualitative analyses to validate or audit financial, statistical, and AI models, using Python, R, SQL, and Excel; 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; and 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.

Salary:  $127,500.00 - $137,500.00/year.

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Certifications:

Category:Risk

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, IT, Information Systems, Mathematical Finance, or closely related field
  • Three years' experience as a Manager, Quantitative Risk Analysis (or closely related) performing quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML
  • Master's degree in Computer Science, Engineering, IT, Information Systems, Mathematical Finance, or closely related field (alternative to Bachelor's plus experience)
  • One year experience as a Manager, Quantitative Risk Analysis with responsibilities in modeling, valuation, pricing, financial planning, and ML (alternative experience path)
  • Demonstrated expertise validating or auditing financial, statistical, and AI models using Python, R, SQL, and Excel
  • Experience developing or implementing mathematical methodologies, algorithms, and diagnostics using QuantLib, GBM Simulator, Arch, LightGBM or scikit-learn
  • Proficiency with scientific and data libraries: NumPy, SciPy, and Pandas for analysis and visualization
  • Experience implementing model risk management frameworks, policies, procedures, and performing backtesting, stress, sensitivity testing, and scenario analysis
  • Experience collaborating on model validation/audit projects: scoping, data access/analysis, identifying findings, and assessing impacts/solutions
  • Ability to communicate complex quantitative findings and present recommendations using Word and PowerPoint
  • Familiarity using Bloomberg for market data and analysis

Fidelity Investments Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.

  • Strong & Reliable Incentives Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
  • Retirement Support A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
  • Parental & Family Support Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.

Fidelity Investments Insights

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The Company
HQ: Boston, MA
58,848 Employees
Year Founded: 1946

What We Do

At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.

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