Senior Quantitative Analyst
Listed on 2026-01-12
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager -
Finance & Banking
Data Scientist
This range is provided by Cititec. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Expert in Quant Technology Recruitment | Building High-Performing Teams in the Commodities IndustrySenior Quantitative Analyst
Power Markets | Energy Trading
Houston, TX (Hybrid)
Cititec are partnered with one of the leading players in the North American energy trading space to hire a Senior Quantitative Analyst into their Houston-based analytics team sitting close to trading, pricing, and portfolio management.
You’ll be responsible for building and owning advanced electricity load forecasting models, turning complex market and operational data into insights that directly influence commercial decisions across power trading, risk, and portfolio strategy.
Responsibilities:- Lead the development and ongoing improvement of electric load forecasting models used across pricing, risk, and portfolio decisions
- Deliver daily pre-deal forecast support, ensuring models are reliable, accurate, and production-ready
- Partner closely with Power Trading, Portfolio Management, Pricing & Structuring, and Costing teams to analyse historical trends, forward curves, and market fundamentals
- Investigate forecast variances and explain drivers across financial, operational, and market inputs
- Build scalable analytics tools using Python, SQL, Docker
, and cloud-based infrastructure - Design, maintain, and optimise cloud data pipelines across Azure and AWS environments
- Apply advanced statistical and predictive techniques including machine learning, Bayesian methods, clustering, and decision-tree models
- Tackle complex analytical problems such as load reconciliation, portfolio stress testing, and budget tracking
- Contribute to best practices around version control, requirements gathering, and production deployment
- Strong programming capability in Python
, with working knowledge of SQL and R - Experience building APIs, production-grade analytics tools, and automated workflows
- Solid grounding in statistical modelling, forecasting, and machine learning techniques
- Strong understanding of power markets
, including electricity trading, pricing, portfolio/risk management, and generation fundamentals
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesOil and Gas and Electric Power Generation
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