Verition Fund Management

6 months ago

Quant Analyst - Commodities (Oil)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 25 minutes agoStatus: Live

Job Summary

Quantitative researcher to join a commodities trading team, building Python-based data pipelines, analytics, and quantitative tools to support discretionary trading decisions. Applies statistics and machine learning to historical and real-time market data, with exposure to crude oil markets. Focuses on tooling, AI techniques, and dashboards to visualize signals and risk for traders.

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key 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.

Key Requirements

•Python (3+ years of professional experience) for data analysis
•Git / version control (required)
•Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts)
•Machine learning fundamentals (e.g., SVMs, model evaluation)
•SQL and relational databases (e.g., Snowflake)

Experience:3+ yearsCommoditiesOilFinance

Skills:CommunicationProblem-solving

Languages:English

Tech Stack:PythonSQLSnowflakeStreamlitAWSAzureNLPNeural networksGit

Company Brief

Verition Fund Management

Verition Fund Management is a New York–based alternative investment manager and hedge fund offering multi-strategy and quantitative investment solutions across equities, fixed income, and derivatives for institutional and high-net-worth clients.

Industry: Hedge Funds

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: New York, United States

Founded: 2008

Website LinkedIn

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Verition Fund Management

6 months ago

Quant Analyst - Commodities (Oil)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 25 minutes agoStatus: Live

Job Summary

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key 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.

Key Requirements

•Python (3+ years of professional experience) for data analysis
•Git / version control (required)
•Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts)
•Machine learning fundamentals (e.g., SVMs, model evaluation)
•SQL and relational databases (e.g., Snowflake)

Experience:3+ yearsCommoditiesOilFinance

Skills:CommunicationProblem-solving

Languages:English

Tech Stack:PythonSQLSnowflakeStreamlitAWSAzureNLPNeural networksGit

Company Brief

Verition Fund Management

Industry: Hedge Funds

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: New York, United States

Founded: 2008

Website LinkedIn