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Senior Researcher role on the Investment Analytics Solutions (IAS) team, transforming complex financial data into groundbreaking insights for family offices, institutional investors, and advisors. Focus on portfolio and risk management, particularly within opaque asset classes like private equity and venture capital.
Job Responsibility:
Spearhead original research to identify emerging risks, trends, and opportunities using proprietary data
Build, backtest, and deploy sophisticated quantitative models and analytical tools
Publish research notes, white papers, and present findings at premier industry conferences
Partner with renowned academics on innovative research projects
Collaborate directly with investors to understand their challenges and co-create custom analytics
Requirements:
At least 7 years of experience in a rigorous quantitative role (e.g., investment research, portfolio construction, risk management)
Expertise in econometrics and data science
Expert in using tools like Python or R to develop models, run simulations, and wrangle large, complex datasets
Strong, practical understanding of alternative assets, including the specific challenges of modeling private equity and venture capital
Demonstrable track record of building and implementing sophisticated risk frameworks, including factor models, scenario analysis, and back-testing simulations
Strong portfolio of work, such as academic publications, industry white papers, conference presentations, or client-facing research materials
Advanced degree (PhD or Master's) in a quantitative field is highly desirable
Must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship
Must be authorized to begin work in the U.S. on their first day of employment
Nice to have:
Advanced degree (PhD or Master's) in a quantitative field
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