Verition Group LLC
Quant Analyst - Commodities (Oil)
Houston, Texas, United States
Sponsorship not specifiedDetected 36 days ago
PythonGitSQLSnowflakeAWSAzureCloud PlatformsMachine LearningData EngineeringData VisualizationNLPStatisticsResearch
About the role
- 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.
- The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems.
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.
- Explore and implement practical AI applications, including NLP and neural network-based approaches, where relevant to the trading process.
- This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions.
Requirements
- Python (minimum 3+ years of professional experience
- required) for data analysis.
- Git / version control (required).
- Experience working with large, noisy, real-world datasets.
- 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).
- Strong conceptual understanding of NLP and neural networks.
- Motivated to build tools and research that directly impact P&L.
Nice to have
- Prior experience in commodities markets, particularly oil, is strongly preferred.
Benefits
- Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
Company info
- Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.
- We are seeking a quantitative researcher to join a world class commodities trading team.
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