Principal Quantitative Developer
Full-time
Fidelity Investments
Responsibilities
- Develop reliable and scalable systems, applications, APIs, data pipelines, and cloud-based workflows supporting investment research and decision-making.
- Implement systematic investment strategies involving time-series forecasting, multi-asset portfolio construction, risk management, alpha research, and simulation-based algorithms.
- Translate quantitative research concepts and business requirements into production-ready software across the full software development lifecycle.
- Develop and validate quantitative models, portfolio risk metrics, asset-level assumptions, and analytical workflows using Python and R.
- Implement unit testing, automated testing, regression testing, code reviews, and other software engineering practices to maintain reliability and model integrity.
- Troubleshoot production issues and ensure system reliability, data integrity, operational excellence, and maintainability.
- Contribute to architecture planning, system modernization, technology roadmaps, and reusable research platform components.
- Partner with Product, Engineering, Investment Research, quantitative researchers, and portfolio teams to deliver end-to-end solutions.
- Communicate quantitative concepts, system designs, and analytical results to technical and non-technical stakeholders.
- Mentor junior team members.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and five years of relevant experience, or a master's degree in one of those fields and three years of relevant experience.
- Experience developing quantitative and analytical solutions within the financial investment or asset-management domain.
- Expertise validating quantitative models through scenario test cases, parameter verification, reasonable testing assumptions, and regression testing.
- Expertise developing and researching fixed-income portfolio risk analytics and portfolio-level asset assumptions using Python and R.
- Expertise designing scalable quantitative research applications and translating analytical requirements into production-ready tools.
- Expertise developing automated data processes, cloud-based research pipelines, structured research frameworks, and reproducible analytical environments.
- Ability to collaborate with quantitative researchers and portfolio teams and communicate complex quantitative and technical concepts.
Benefits
- Fidelity is transitioning to a full-time onsite working model through a phased rollout; onsite requirements vary by region and role and may evolve.
- The position does not provide immigration sponsorship.
Vacancy posted 4 days ago
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