Senior Associate, Financial Solutions

Fidelity Investments•Boston, MA
•$103,000 - $211,000

About The Position

The Senior Associate will join Fidelity’s Financial Solutions team to develop quantitative methodologies, decision frameworks, and digital capabilities for wealth, brokerage, and workplace customers. The role applies research to financial planning, tax strategies, optimization, and investment management, translating findings into points of view, educational content, scalable tools, and experiences for customers and financial advisors. The position collaborates with teams across distribution, technology, product development, user experience, asset management, analytics, legal, and compliance. Work includes researching and modeling financial planning and investment decisions, developing prototypes and implementation specifications with product and technology teams, and making the assumptions, trade-offs, and drivers behind advice and guidance more transparent. The role may also explore responsible uses of generative AI and agentic workflows to support research and related work. The Financial Solutions team is part of Strategic Advisors. It develops research, quantitative methodologies, and decision frameworks underlying Fidelity’s financial advice and guidance. Its work spans financial planning, investor profiling, tax and investment planning, optimization, and technology, including retirement topics such as tax-efficient withdrawals, Roth conversions, savings and distribution strategies, retirement-income funding, and healthcare decision support. Fidelity is transitioning to a full-time onsite working model through a phased regional and role-based rollout. Current onsite requirements vary; expectations may evolve. The transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position. The base salary range is $103,000–$211,000 per year, with placement depending on responsibilities, scope, location, relevant experience, and other factors. Depending on position and eligibility, compensation may also include bonus or other variable compensation. The application window closes when the position is filled or unposted.

Requirements

  • Ability to develop and maintain quantitative models in Python and Excel.
  • Ability to work independently on projects while using guidance and feedback from experienced team members.
  • Strong interest in financial planning and helping people achieve their financial goals.
  • At least 3 years of experience in financial services, investment management, quantitative analysis, financial planning, data science, or a related field.
  • Bachelor’s or graduate degree in a quantitative discipline such as Engineering, Finance, Mathematics, Econometrics, Computer Science, or a related field.
  • Clear and effective communication of complex concepts to diverse audiences.
  • Intellectual curiosity, initiative, and enthusiasm for learning new skills.
  • Enjoyment of collaborative, fast-paced work with colleagues across financial planning, investments, technology, and product teams.

Nice To Haves

  • CFA and/or CFP designation; candidates without a CFP designation should be willing to pursue CFP certification.
  • Knowledge of U.S. personal income tax, tax planning, and tax strategies.
  • Experience collaborating with technology and product teams to develop, implement, or improve digital tools, platforms, and user experiences.
  • Experience with and interest in applying generative AI to research, prototyping, and workflow automation.

Responsibilities

  • Define financial planning and investment management problems and translate them into testable research questions.
  • Develop and maintain quantitative methodologies to address identified problems.
  • Develop prototypes, decision rules, calculation specifications, and functional requirements with product and technology teams.
  • Develop, validate, and back-test quantitative models using simulation, financial modeling, and scenario analysis.
  • Evaluate how planning and investment decisions interact, including saving and withdrawal behavior, time horizon, capital market assumptions, asset allocation, account type, asset location, and product selection.
  • Improve the transparency and explainability of financial advice and guidance for customers, financial advisors, and business partners.
  • Explore responsible applications of generative AI and agentic workflows to accelerate research, scenario development, testing, documentation, and explanation of financial advice and guidance.
  • Collaborate with teams including distribution, technology, product development, user experience, asset management, analytics, legal, and compliance.

Benefits

  • Comprehensive health care coverage.
  • Emotional well-being support.
  • Retirement benefits.
  • Generous paid time off.
  • Parental leave.
  • Charitable giving employee match program.
  • Educational assistance, including student loan repayment, tuition reimbursement, and learning resources for career development.
  • Potential bonus or other variable compensation, depending on position and eligibility.
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