Principal Quantitative Developer

Note:

Fidelity will not provide immigration sponsorship for this position.

Develops reliable and scalable systems that support investment research and decision‑making across the organization. Designs and enhances applications that bring quantitative insights to portfolio managers and analysts, ensures tools are easy to use, well‑supported, and aligned with business needs. Develops and maintains high‑quality API integrations, data pipelines, and cloud‑based systems to support advanced quantitative research. Ensures systems and applications adherence to software engineering best practices, including code reviews, continuous integration/continuous deployment (CI/CD), and automated testing.

Troubleshoots and resolves production issues, ensuring high system reliability, data integrity, and operational excellence. Uses analytical and problem‑solving skills to assist in building and maintaining models that guide investment strategies. Supports the creation of automated processes and modern workflows that improve efficiency, data accessibility, and the overall quality of research. Implements automated testing through unit‑testing frameworks and test‑driven development methodologies to ensure reliability and model integrity.

• Analyzes and implements systematic investment strategies including time-series forecasting, multi-asset portfolio construction, risk management frameworks, alpha research, and simulation-based algorithms.
• Translates research concepts into production‑ready software solutions across the full software development lifecycle.
• Analyzes business and research requirements to design scalable, maintainable, and performant quantitative systems.
• Evaluates and applies emerging quantitative methodologies, analytics techniques, and industry trends to enhance investment capabilities.
• Provides domain expertise across asset classes including equities, fixed income, or alternative investments.
• Assists research teams in developing new quantitative models, tools, and products to strengthen competitive positioning.
• Partners with cross‑functional teams, including Product, Engineering, and Investment Research, to define requirements and deliver end‑to‑end solutions.
• Contributes to long‑term architecture planning, system modernization initiatives, and technology roadmap development.
• Communicates complex quantitative concepts, system designs, and analytical results to technical and non‑technical stakeholders.
• Mentors junior team members.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Quantitative Developer (or closely related occupation) developing quantitative and analytical solutions within the financial investment or asset‑management domain.
• Master’s degree in Computer Science, Engineering, Mathematics, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Quantitative Developer (or closely related occupation) developing quantitative and analytical solutions within the financial investment or asset‑management domain.

• Candidate must also possess:
  Demonstrated Expertise (“DE”) validating quantitative models by building test cases in multiple scenarios and verifying model parameters against existing documents; establishing and configuring reasonable assumptions in testing case; and verifying model updates by running regression testing.
• DE developing and researching portfolio risk analytic metrics on fixed income products using Python…