Quantitative Risk Developer

Fidelity • Jersey City, MA

2d

About The Position

Quantitative Research and Investments (QRI) is seeking a highly motivated and experienced Quantitative Risk Developer to help build Fidelity’s next-generation portfolio analytics platform. The platform is used across Fidelity by investment professionals for risk management, portfolio construction, and alpha research. This greenfield project is a significant, multi-year investment and offers the opportunity to shape how Fidelity manages risk and constructs portfolios across asset classes. The successful candidate will work closely with quantitative researchers to develop core portfolio analytics libraries and with technologists to deploy them in the production risk environment.

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

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Current onsite expectations vary by role and location and may evolve as the rollout continues; the transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position.

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, with a strong emphasis on quantitative finance libraries including NumPy and SciPy.
• Good understanding of software version control and strong Git proficiency.
• Understanding of testing methodologies, code reviews, documentation, and other software development best practices.
• Strong communication skills and the ability to convey complex technical information effectively to technical and non-technical audiences.

Nice To Haves

• Experience implementing quantitative models and applications for risk management or portfolio construction.
• Understanding of AI/ML fundamentals and 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 Dash or Streamlit.

Responsibilities

• Design, develop, and implement core risk capabilities for Fidelity’s risk management platform, including multi-asset class ex-ante risk modeling, performance attribution analysis, and stress testing and scenario analysis.
• Collaborate with quantitative risk managers to build tools and software libraries that advance analytical capabilities.
• Apply software development best practices to optimize platform run-time 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 evolving needs and ensure the risk platform meets business requirements.

Benefits

• Comprehensive health care coverage and emotional well-being support.
• Market-leading retirement benefits.
• Generous paid time off and 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: Senior