Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Do you want to help people and solve complex financial planning problems and turn rigorous research into solutions that can improve how Americans save, invest, manage taxes, and generate income throughout retirement?
Join Financial Solutions and help develop quantitative methodologies, decision frameworks, and digital capabilities that support Fidelity’s wealth, brokerage, and workplace customers. In this role, you will work on problems at the intersection of financial planning, tax strategies, optimization, and investment management, translating research into points of view, educational content, scalable tools, and experiences used by customers and financial advisors.
This role will collaborate with a range of teams at Fidelity including distribution, technology, product development, user experience, asset management, analytics, legal, and compliance, among others. Your responsibilities will include:
Defining financial planning and investment management problems and translating them into testable research questions
Developing and maintaining quantitative methodologies that address the problems
Bringing your thinking to implementation through developing prototypes, decision rules, calculation specifications, and functional requirements in partnership 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 the effects of saving and withdrawal behavior, time horizon, capital market assumptions, asset allocation, account type, asset location, and product selection on customer outcomes.
Improve the transparency and explainability of financial advice and guidance so customers, financial advisors, and business partners can understand the assumptions, trade-offs, and drivers of an outcome.
Explore responsibly applying generative AI and agentic workflows to accelerate research, scenario development, testing, documentation, and explanation of financial advice and guidance.
The skills and experience you bring
Required
Ability to develop and maintain quantitative models in Python and Excel
Ability to work independently on projects while leveraging guidance and feedback from experienced team members
Strong interest in financial planning and helping people to achieve their financial goals
3 plus years of experience in financial services, investment management, quantitative analysis, financial planning, data science, or a related field
Bachelor’s or graduate degree in quantitative disciplines such as Engineering, Finance, Mathematics, Econometrics, Computer Science, or a related field
Preferred
CFA and/or CFP designation preferred; Candidates who do not currently hold 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, prototype, and workflow automation
In addition to the above expertise and skills mentioned requirements, the ideal candidate:
Demonstrates intellectual curiosity, initiative, and love for learning new skills
Enjoys working in a collaborative, fast-paced environment with colleagues across financial planning, investments, technology, and product teams
Communicates complex concepts clearly and effectively to diverse audience
The Team
The Financial Solutions team, part of Strategic Advisors, develops research, quantitative methodologies, and decision frameworks that underpin the financial advice and guidance Fidelity provides to customers through financial advisors and digital experiences.
The team works on solutions across financial planning, investor profiling, tax planning, investment…