About The Position

Fidelity is seeking a Senior Fixed Income Quantitative Analyst to join its Quantitative Research and Investing division in Merrimack, New Hampshire. The role leads research, development, and implementation of quantitative risk and market models supporting Fixed Income investment processes. It translates investment and risk-management needs into robust models and scalable analytics that help portfolio managers and traders understand exposures, evaluate portfolio construction choices, and assess new products and strategies. The position also contributes to quantitative macro research, including tactical asset allocation, alpha generation, translating macro fundamentals into market dynamics, and developing quantitative signals for actionable, risk-adjusted investment strategies. As an experienced individual contributor, the analyst owns substantial risk-model and macro-research initiatives from inception and design through production implementation and ongoing monitoring. The role requires sound quantitative judgment, independent execution, and the ability to explain model assumptions, limitations, and portfolio implications to investment professionals and senior stakeholders. The analyst helps set research priorities and technical standards, mentors other researchers, and partners closely with technology teams.

Requirements

  • At least 7 years of relevant experience in fixed income quantitative research or risk modeling, with demonstrated ownership of model development and implementation.
  • Strong communication and collaboration skills, including the ability to influence investment and technology stakeholders, mentor colleagues, and lead projects.
  • Deep quantitative modeling expertise, including statistical methods, factor risk models, scenario analysis, stress testing, and model evaluation.
  • Strong coding skills and experience delivering analytical libraries and production capabilities.
  • Strong analytical and communication skills, integrity, creative thinking, independent judgment, and the ability to make decisions quickly, often with limited information.

Nice To Haves

  • Advanced degree in finance, science, engineering, or mathematics; PhD preferred.
  • Experience building fixed income risk systems used to manage investments across a broad range of portfolio types and investment styles.

Responsibilities

  • Lead the development and enhancement of Fixed Income portfolio risk models, including factor exposures, risk decomposition, and aggregation.
  • Develop scenario-analysis and stress-testing frameworks using linear factor models and Monte Carlo simulations.
  • Establish model diagnostics, backtesting, documentation, and ongoing monitoring to assess model performance, data quality, and limitations.
  • Partner with investment and technology professionals to define requirements, prioritize enhancements, and deliver reliable production analytics embedded in investment workflows.
  • Communicate quantitative results, model assumptions, and actionable risk insights to portfolio managers, traders, and senior leaders.
  • Provide technical leadership, mentor researchers, and drive cross-functional model and platform initiatives from initial research through adoption.
  • Contribute to quantitative macro research, including tactical asset allocation, alpha generation, and translating macro fundamentals into market dynamics and quantitative investment signals.
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