Quantitative Risk Platform Developer
6 days ago
Fidelity TalentSource LLC is seeking an experienced Quantitative Risk Professional to join our team as a Lead Asset Modeler.
Job DescriptionThe role involves developing and enhancing Fidelity's risk analytics platform, supporting ex-ante risk, VaR, attribution, stress testing, and scenario analysis across all asset classes. This platform is used by investment professionals for risk management, portfolio construction, and alpha research.
You will focus on researching and improving Fidelity's factor models and specific risk forecasts. Your work will include collaboration with data science researchers to extract insights from alpha research and improve risk forecasts.
In addition to core functionality and methodological improvements, you will communicate with portfolio and risk managers across the firm to ensure the platform is optimally used in the investment decision-making process.
This role sits within the Platform and Analytics Group (PAG), which works alongside quantitative researchers in QRI and across Asset Management to build and maintain infrastructure for R&D, alpha generation, risk modeling, and portfolio construction.
The Value You Deliver- Design specifications and code for core risk capabilities of Fidelity's risk management platform, including decompositions of ex-ante risk, stress testing, attribution, and tail risk.
- Work with database engineers, software developers, and quantitative researchers to deploy new risk analytics into Fidelity's production environment.
- Collaborate with investment professionals to ensure that risk platform improvements satisfy end-user business requirements.
- Deliver sophisticated projects with multiple stakeholders.
- Ph.D. or equivalent experience in Mathematics, Economics, Statistics, Quantitative Finance, or a similarly quantitative field.
- 10+ years of experience in risk management, market risk analytics, or quantitative research.
- Prior work experience in financial modeling, data science, or model deployment to a production environment is strongly desired.
- Experience with data handling, statistical and econometric modeling, and building and back-testing models.
- Programming skills in Python and database languages.
- Experience with Python-based GPU-accelerated high-performance computing libraries such as JAX, TensorFlow, or PyTorch.
- Experience implementing statistical models that apply cross-sectional and time-series econometrics, dimensionality reduction, and optimization techniques.
- Demonstrated effective communication with both internal and external partners.
Fidelity offers a wide range of benefits to meet your evolving needs, including comprehensive health care coverage, emotional well-being support, market-leading retirement, generous paid time off, parental leave, charitable giving employee match program, and educational assistance.
Compensation and LocationWe estimate the annual salary for this role to be around $120,000 - $160,000 depending on location and experience.
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Jersey City, New Jersey, United States Fidelity TalentSource LLC Full timeAbout the RoleWe are seeking an experienced quantitative risk professional to own the development and enhancement of Fidelity Asset Management's risk analytics platform.This platform supports ex-ante risk, VaR, attribution, stress testing, and scenario analysis across all asset classes, used by investment professionals for risk management, portfolio...
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