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Principal Quantitative Developer

Fidelity Investments

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Location:
United States , Jersey City ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

97000.00 - 185000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Gathering ideas, conceptualizing them through a programming language, and creating a packaged solution that can be used by investment professionals
  • building high quality, robust, efficient, and scalable analytical solutions that directly support portfolio construction, risk management, and alpha generation
  • improving the quality and time-to-market of Research initiatives through a combination of both analytical and software development skillsets

Requirements:

  • Bachelor’s degree in a quantitative field such as Financial Engineering, Physics, Applied Mathematics, Computer Science, or a closely related discipline
  • 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++
  • 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 have:

  • Advanced technical degree
  • Progress toward CFA (or equivalent)
What we offer:
  • Comprehensive health care coverage
  • 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

Additional Information:

Job Posted:
April 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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