Quantitative Strategist
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-09-14
Listing for:
Alexander Chapman
Full Time
position Listed on 2026-09-14
Job specializations:
-
Finance & Banking
Data Scientist, Financial Analyst, Financial Advisor / Consultant
Job Description & How to Apply Below
We are currently working on a Quantitative Strategist opportunity with a leading global commodity trading organization in Houston, TX. The position sits within a quantitative team supporting commercial and trading activities across the energy markets.
The role combines quantitative research, financial modelling, pricing, and analytics, with the opportunity to work closely with traders and commercial teams on a range of complex market-driven problems.
The role will involve:- Building and improving quantitative models used across trading and commercial activities.
- Developing analytical tools to support pricing, valuation, and decision-making.
- Develop pricing and optimization models for battery storage, energy dispatch, and ancillary market opportunities.
- Working on complex commodity transactions and bespoke quantitative projects.
- Applying statistical and mathematical techniques to market and trading data.
- Contributing to the development of internal quantitative systems and analytics.
- Working closely with traders and commercial stakeholders to understand and solve quantitative problems.
- Supporting the ongoing enhancement of the team's modelling capabilities and infrastructure.
- 5+ years of quantitative experience within commodities, energy, trading, or a related financial markets environment.
- Strong knowledge of derivatives, financial mathematics, quantitative modelling, and risk.
- Experience building or working with pricing, valuation, or analytical models.
- Strong programming skills in Python, C++, C#, VBA, or similar languages.
- Experience working directly with trading, origination, or commercial teams.
- Advanced degree in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, or Finance.
- Exposure to energy markets, stochastic modelling, structured products, or commodity trading would be particularly relevant.
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