Quantitative Risk Developer

Fidelity Investments • Jersey City, NJ

3d • $100,000 - $200,000

About The Position

Quantitative Research and Investments (QRI) is seeking an experienced Quantitative Risk Developer to help build Fidelity’s next-generation portfolio analytics platform. Used by investment professionals across Fidelity for risk management, portfolio construction, and alpha research, the platform is a multi-year, greenfield investment. The successful candidate will work alongside quantitative researchers to develop core portfolio analytics libraries and partner with technologists to deploy them in the production risk environment.

QRI is an investments and research division within Fidelity Asset Management. It develops and manages quantitative and hybrid quant/fundamental investment strategies and provides quantitative, data-driven research to Fidelity investment professionals.

Requirements

• Master’s degree with an outstanding academic record in a technical field such as science, engineering, or mathematics, and at least 5 years of experience as a quant developer for an investment firm; a bachelor’s degree with at least 7 years of relevant experience may be considered.
• Expert Python programming skills, particularly with quantitative finance libraries such as NumPy and SciPy.
• Good understanding of software version control and strong Git proficiency.
• Knowledge of testing methodologies, code reviews, documentation, and other software development best practices.
• Understanding of AI/ML fundamentals.
• Strong communication skills and ability to convey complex technical information to technical and non-technical audiences.

Nice To Haves

• Experience implementing quantitative models and applications for risk management or portfolio construction.
• Familiarity with tools such as GitHub Copilot.
• Experience applying AI techniques to time-series data anomaly detection.
• Practical experience building interactive Python GUIs, such as with Dash or Streamlit.

Responsibilities

• Design, develop, and implement core risk capabilities for Fidelity’s risk management platform.
• Develop multi-asset-class ex-ante risk modeling.
• Develop performance attribution analysis.
• Develop stress testing and scenario analysis.
• Collaborate with quantitative risk managers to build analytical tools and software libraries.
• Apply software development best practices to optimize platform runtime performance, scalability, and robustness.
• Partner with technologists to integrate the quantitative codebase with existing systems, data infrastructure, and production environments.
• Engage with investment professionals across Fidelity Asset Management to understand their needs and ensure the risk platform meets business requirements.

Benefits

• Comprehensive health care coverage.
• Emotional well-being support.
• Market-leading retirement benefits.
• Generous paid time off.
• Parental leave.
• Charitable giving employee match program.
• Educational assistance, including student loan repayment, tuition reimbursement, and learning resources.

What This Job Offers

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