Research Analyst

• conduct investment research: projects will involve running simulations of investment strategies to determine after-tax effects
• run large-scale simulations and backtests to assess strategy efficacy and after-tax implications
• interact with robust data pipelines and APIs using C#, Python, and SQL, ensuring data quality, reproducibility, and efficient computation
• support integration of research outputs into production portfolio management systems used by PMs and traders
• interface directly with portfolio managers, risk teams, and technology groups to communicate model results, limitations, and implementation details
• apply statistical and machine learning methods (e.g., regression, optimization, NLP, feature engineering) to generate, validate, and enhance alpha factors

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