Serve as a primary quantitative partner for Portfolio Management and Investment Research
Maintain, validate, and enhance portfolio and risk analytics
Analyze portfolio, risk, and market data to identify drivers of performance and risk
Own and maintain critical data pipelines and data-quality control processes
Implement quantitative analytics in Python and SQL
Support recurring deliverables such as quarterly investment analysis and reporting
Contribute to quant research projects, including annual Strategic Asset Allocation process
Evaluate and integrate AI-enabled capabilities to enhance analytical workflows
Maintain strong operational documentation

Requirements

Bachelor’s degree in a quantitative discipline (finance, economics, mathematics, statistics, engineering, computer science, or related field)
6–8 years of relevant experience in investment analytics, quantitative research, risk, or portfolio analytics
Strong programming skills in Python
Ability to translate analysis into production-quality code
Strong data skills, including SQL
Experience working with large, real-world datasets
Strong Excel skills, including experience with complex workbooks and VBA
Working knowledge of multi-asset investing and risk concepts
Comfort with modern software engineering practices including Git-based version control

Benefits

Annual discretionary bonus
401(k) plan with a generous match
Comprehensive benefits package including healthcare options
Disability benefits
Employee stock investment program
Learning resources
Career development programs
Paid time off (vacation/holidays/sick/leave/parental & caregiving leave/bereavement/volunteering/floating holidays)
Motivational wellbeing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLExcelVBAdata analyticsquantitative researchrisk analyticsportfolio analyticsdata pipelinesdata-quality control

Soft Skills

analytical skillscommunicationdocumentationproblem-solvingcollaboration