Senior Quantitative Developer
About The Position
The Role Fidelity’s Asset Management Technology division is seeking a Senior Quantitative Developer to join their Fixed Income Embedded Quant Development Team. This is a senior engineering role within a fast-paced, collaborative environment, where you will work closely with quantitative researchers and investment professionals. As an embedded member of the research team, you will build high quality, robust, efficient, and scalable analytical solutions that directly support portfolio construction, risk management, and alpha generation. This role impacts the organization by improving the quality and time-to-market of Research initiatives through a combination of both analytical and software development skillsets. The assignments will include gathering the ideas, conceptualizing them through a programming language, and creating a packaged solution that can be used by the investment professionals. The Team The Quantitative Development team is part of Asset Management’s Quantitative Research & Investment Technology group. We partner closely with Fixed Income investment teams to deliver high-performance analytical tools that support portfolio management, risk analysis, and alpha research. Our mission is to operationalize reliable, high-quality solutions that enhance investment outcomes and drive innovation.
Requirements
- Bachelor’s degree in a quantitative field such as Financial Engineering, Physics, Applied Mathematics, Computer Science, or a closely related discipline, with at least six (6) years of experience as a Senior Quant Developer or in a similar role
- Experience in quantitative analytics, ideally in the fixed income market, including interest rate modeling and interest rate derivatives
- Strong skills in quantitative finance, with an emphasis on applying numerical methodologies to financial problems, including finite-difference methods for PDE solvers, tree models, Monte Carlo simulation, and optimization techniques for curve fitting
- Deep understanding of probability theory, linear regression, and time-series analysis
- Expert-level software engineering skills in C++, with proficiency in Python, shell scripting, SQL, and Linux (preferably in a command-line environment)
- Strong proficiency in object-oriented programming (OOP) principles and hands-on experience implementing design patterns in production code
- Full-stack software development knowledge and critical thinking skills to design optimal solutions for high-performance fixed income analytics
- Experience with cloud technologies, particularly AWS, and container orchestration platforms such as EKS
- Experience implementing CI/CD and DevOps best practices, including Continuous Integration and Continuous Deployment pipelines (using Linux and Jenkins), and code versioning with GitHub
- Familiarity with Secure Software Development Life Cycle (SSDLC) practices and implementation
- Strong presentation and communication skills, with the ability to effectively engage with quantitative researchers and investment professionals
Nice To Haves
- Advanced technical degree strongly preferred
- Progress toward CFA (or equivalent) is a plus
Benefits
- comprehensive health care coverage and emotional well-being support
- market-leading retirement
- generous paid time off and parental leave
- charitable giving employee match program
- educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
