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
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