Description
Conduct quantitative research to inform trading and investment decisions, including signal discovery, pricing, and valuation of financial instruments. Build, test, and validate mathematical and statistical models for risk management, asset optimization, and relative value, and translate research into production-ready tools.
- • Formulate research hypotheses and design backtests for alpha, pricing, and risk.
- • Acquire, clean, and engineer datasets from market and alternative sources.
- • Develop, calibrate, and validate statistical, econometric, and machine learning models.
- • Build and maintain libraries for signal generation, portfolio construction, and optimization.
- • Define model specifications, features, and data requirements.
- • Implement robust backtesting frameworks and performance attribution.
- • Interpret and communicate research results and diagnostics to portfolio managers and traders.
- • Produce concise research reports, documentation, and reproducible code.
- • Provide analytical support to traders and portfolio managers on valuations, data quality, and model behavior.
- • Collaborate with engineers and trading teams to deploy models to production.
- • Monitor live model performance and track KPIs and trading system metrics.
- • Maintain and refactor models to address drift, regime changes, and new data.
- • Develop tools for pricing, valuation, and relative value analysis of securities and derivatives.
- • Create risk models and hedging strategies, including scenario and stress testing.
- • Validate third-party or desk models and build challenger models for verification.
- • Prototype and evaluate new analytics, data sources, and financial products.
- • Ensure compliance with model governance, testing standards, and audit requirements.
- • Prepare and refine requirements for analytical software and research infrastructure.
- • Optimize research workflows, compute resources, and data pipelines for scale and reproducibility.
- • When relevant, research ESG and climate risk factors, including carbon market products, and assess portfolio impacts.
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Financial Services
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O*NET occupational data (work activities, skills, knowledge).
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This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
