Description
Design, build, and validate quantitative models to support securities pricing, valuation, trading, and risk management. Apply mathematical and statistical methods to optimize portfolios, assess relative value, and inform investment decisions.
- • Prepare concise model and data requirements for developers.
- • Support researchers and traders with valuation, modeling, and data issues.
- • Define and monitor trading system performance metrics.
- • Develop and test analytical software to meet user specifications.
- • Research new financial products and analytics for investment use.
- • Maintain and enhance production quantitative models.
- • Write summary reports of quantitative research results.
- • Interpret and communicate results of financial analyses.
- • Build core model libraries using advanced statistical and econometric techniques.
- • Define model specifications and data collection methods.
- • Gather user requirements from traders and other stakeholders.
- • Partner with quants and engineers on strategies, market dynamics, and system performance.
- • Collaborate with product teams to model, validate, and implement structured solutions.
- • Develop tools for portfolio optimization, performance measurement, attribution, P&L, and pricing.
- • Create independent models to validate analytical system outputs.
- • Apply quantitative techniques to derivative valuation, trading, risk, and regulatory analysis.
- • Analyze pricing and risk of carbon trading products.
- • Assess financial impacts of climate risks and disruptions.
- • Develop metrics to evaluate ESG performance.
- • Design hedging solutions for carbon exposure.
- • Build tools to assess green technologies and sustainable financial products.
Related specializations
Interview options
Interview options
Interviewee gender
Interviewee accent
Interview time
Related Pathways
Financial Services
View
Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
Learn more
Sources & Standards:
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
