Quantitative Risk Developer
About The Position
The Role Quantitative Research and Investments (QRI) is seeking a highly motivated and experienced Quantitative Risk Developer to join our team in building Fidelity's next-generation portfolio analytics platform. The portfolio analytics platform is leveraged across Fidelity by investment professionals for risk management, portfolio construction, and alpha research. This is a unique opportunity to make a significant impact on how Fidelity manages risk and constructs portfolios across asset classes. The next-generation portfolio analytics platform is a greenfield project in which Fidelity is making a significant investment over multiple years. The successful candidate will work closely alongside quantitative researchers in writing the core portfolio analytics libraries and with technologists to deploy them in the production risk environment. The role sits within the Quantitative Research and Investments (QRI) Group. QRI is responsible for the management and development of quantitative investment strategies and solutions for Fidelity retail and institutional clients. QRI also provides high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis. quantitative research/business side. The Value You Deliver Design, develop, and implement core risk capabilities for Fidelity’s risk management platform
Requirements
- Master’s degree with an outstanding academic record in a technical field such as science, engineering, or mathematics, with 5+ years of experience as a quant developer for an investment firm. Bachelor’s degree with 7+ years of relevant experience may be considered.
- Expert Python programming skills with a strong emphasis on libraries used in quantitative finance, including NumPy and SciPy
- Experience implementing quantitative models and applications for risk management or portfolio construction highly preferred
- Good understanding of software version control with strong Git proficiency, testing methodologies, code reviews, documentation, and other best practices
- Understanding of AI/ML fundamentals; familiarity with tools like GitHub Copilot; experience applying AI techniques for time series data anomaly detection
- Strong communication skills with the ability to effectively convey complex technical information to both technical and non-technical audiences
Nice To Haves
- Preferred practical experience building interactive Python GUIs (e.g. Dash, Streamlit)
Responsibilities
- Multi-asset class ex-ante risk modeling
- Performance attribution analysis
- Stress testing and scenario analysis
- Collaborate with quantitative risk managers to build cutting-edge tools and software libraries, advancing our analytical capabilities
- Apply software development best practices to optimize run-time performance, scalability, and robustness of the platform
- Partner with technologists to ensure seamless integration of quant codebase with existing systems, data infrastructure, and production environments
- Engage with investment professionals across Fidelity Asset Management to understand their evolving needs and ensure the risk platform meets their business requirements.
Benefits
- We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
