Quant Analyst - Commodities (Oil)
Verition Group LLC
Salary not disclosed
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Description
Firm Overview
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Fixed Income & Macro, Event & Multi-Asset RV, Equity L/S & Capital Markets, and Quantitative Trading.
Role Overview
We are seeking a quantitative researcher to join a world class commodities trading team. This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions. The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems. Prior exposure to crude oil markets is strongly preferred.
Responsibilities
- Develop and maintain Python-based research, analytics, and data pipelines to support trading and market analysis.
- Design and manage databases and structured data workflows, including SQL-based querying and cloud-hosted data solutions.
- Build dashboards and interactive tools (e.g., Streamlit) to visualize market data, signals, and risk metrics for the trading desk.
- Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
- Contribute to the development and refinement of quantitative signals and core strategies used in commodities trading.
- Explore and implement practical AI applications, including NLP and neural network–based approaches, where relevant to the trading process.
- Work closely with the trader to prioritize projects, translate trading intuition into quantitative frameworks, and iterate quickly.
Qualifications
- Python (minimum 3+ years of professional experience; required) for data analysis.
- Prior experience in commodities markets, particularly oil, is strongly preferred.
- Git / version control (required).
- Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts).
- Machine learning fundamentals and common tools (e.g., SVMs, model evaluation best practices).
- SQL and relational databases (e.g., Snowflake).
- Dashboarding and data visualization (ideally Streamlit).
- Cloud platforms (AWS, Azure, or similar).
- Experience working with large, noisy, real-world datasets.
- Strong conceptual understanding of NLP and neural networks.
- Motivated to build tools and research that directly impact P&L.
- Excellent written and verbal communication skills.
- High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
- Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.
Benefits
- stock options
About this role
Verition's commodities trading team is building out its quantitative research capability, and this role sits at the intersection of data engineering and machine learning applied to oil markets. You'd spend your time developing Python pipelines, managing databases, and creating analytics tools that traders rely on to make decisions—work that directly ties to the fund's P&L. The team values speed and pragmatism: you'll move from trading intuition to quantitative models quickly, iterate based on real feedback, and explore emerging techniques like NLP and neural networks where they actually solve problems rather than for their own sake.
The role demands solid technical foundations across the full stack: at least three years of professional Python, SQL and cloud platforms, statistical rigor, and machine learning literacy. Prior exposure to crude oil markets is strongly preferred, though what matters most is the ability to learn domain specifics fast. You'll work in-office in Houston, collaborating closely with the trader to translate their market intuition into frameworks you can build and test. This is a fit for someone who enjoys both the engineering side—clean data pipelines, version control, dashboarding—and the analytical side, and who finds motivation in tools that move markets rather than in research for its own sake.
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Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Quant Analyst - Commodities (Oil) postings in Houston, and analyze any offer before you accept it.
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