10 hours ago
Jersey City, NJ, USAStaff+
Base Salary
$174k - $181k/yr
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.
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.