About the role

  • Quantitative Analyst at Fidelity developing strategic asset allocation frameworks and performing quantitative research. Collaborating with teams to enhance portfolio construction and drive investment insights.

Responsibilities

  • Develop, maintain and iterate upon strategic and tactical asset allocation frameworks across asset classes
  • Monitor macroeconomic, market, and policy developments to inform allocation shifts
  • Collaborate with investment client-facing teams to translate views into actionable portfolio guidance
  • Evaluate adoption potential of emerging and extended asset classes in a multi-asset solutions
  • Align with Distribution teams on focus strategies based on outcomes of asset allocation frameworks
  • Drive end-to-end research projects from conception to delivery and prototype potential research ideas that could be expanded to content used across the FI organization
  • Co-author high impact whitepapers, market commentaries, and timely client-facing insights on asset allocation trends
  • Represent the team as a subject matter expert in various internal forums
  • Own quantitative projects to enhance portfolio construction methodologies, including scenario analysis, stress testing, and optimization
  • Partner with manager research and portfolio engineering teams to inform implementation of asset allocation strategy and properly identify and mitigate associated risk
  • Champion new methodologies and analytics to enhance research quality and efficiency
  • Lead initiative to streamline processes and improve scalability across teams
  • Contribute to governance frameworks by ensuring models, assumptions and research processes meet high standards of rigor and transparency
  • Inform and drive organizational alignment on key capabilities such as risk modeling and optimization
  • Review analytical approaches and assumptions used in FI’s suite of offerings
  • Work closely with product, distribution, and investment specialist teams to align asset allocation strategy with business goals
  • Support internal education and enablement through training and content development
  • Participate in client and due diligence meetings as needed to provide perspectives on markets and asset allocation

Requirements

  • Bachelor’s degree in mathematics, engineering, computer science, finance, or another quantitative field required
  • Master’s degree and/or CFA credential preferred (or progressing towards CFA charter)
  • 7+ years of quantitative research and/or portfolio construction experience. Private markets experience a plus
  • Demonstrated experience, interest, and skill in quantitative analysis and research
  • Deep quantitative and coding skills with the ability to think analytically
  • Working experience with any statistical software packages (e.g., Python, R, MATLAB), Excel, and SQL
  • Experience with and knowledge of portfolio optimization methods and risk models
  • Exposure to quantitative portfolio tools such as MSCI Barra, Axioma, FactSet
  • Familiarity with large, complex data sets and data visualization tools
  • Desire to learn and evaluate new technologies and approaches that could be applied to investment decision processes
  • Strong interpersonal skills and a passion for working in a team environment
  • Commercial mindset and experience in a cross functional role across the sales, investment, product and marketing organizations
  • Strong communication/presentation skills and ability to translate complex quantitative analysis into meaningful and applicable investment solutions.

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

Job title

Quantitative Analyst

Job type

Experience level

SeniorLead

Salary

$110,000 - $222,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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