Quant Analyst - Gasoline & Diesel

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a highly motivated Quantitative Analyst to join a Gas & Diesel PM in Houston, TX. The successful candidate will play a key role in analyzing and organizing complex datasets—including vessel tracking, refinery outputs, and market fundamentals—to help drive trading insights and decision-making.

This is a hands-on role that requires both strong technical skills and the ability to work closely with traders and analysts to transform raw data into actionable intelligence.

Responsibilities:

• Collect, clean, and organize large datasets from multiple sources, including vessel tracking systems, refinery production reports, and market data providers.
• Build and maintain data pipelines to ensure accurate and timely delivery of information to the trading desk.
• Develop quantitative models and tools to identify trading opportunities and risks.
• Create dashboards and visualizations to communicate insights effectively to traders, analysts, and management.
• Collaborate with trading, risk, and operations teams to design and implement data-driven solutions.
• Explore opportunities to automate manual processes and streamline data workflows.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field.
• Strong programming skills in Python (data wrangling, analysis, modeling).
• Proficiency in SQL for querying and managing large datasets.
• Experience with data visualization tools (e.g., Tableau, Power BI, Plotly Dash, or similar) to build interactive dashboards.
• Ability to work independently and in a fast-paced, dynamic trading environment.
• Strong problem-solving skills with a focus on practical, scalable solutions.
• Knowledge of statistical modeling, forecasting, or machine learning techniques.
• Nice to Have:
• Familiarity with cloud and big data platforms such as Snowflake, Databricks, or AWS
• Prior exposure to energy markets, especial oil products, shipping or refinery operations. 
• Experience working with real-time or high-frequency data sources.