Verition Fund Management

1 day ago

Commodities Quant Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Join a commodities-focused investment pod as a research-driven Quantitative Analyst in Houston. You’ll develop financial time-series models and predictive signals alongside an experienced Portfolio Manager, using alternative datasets from global commodity markets. The role emphasizes rigorous statistical validation, backtesting, and building research pipelines for large structured and unstructured data, including AI/ML and feature engineering to uncover differentiated sources of alpha.

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key Responsibilities

•Develop financial time series models and predictive forecasting techniques across energy and commodity markets.
•Source, research, evaluate, and incorporate alternative datasets into the investment process.
•Design, test, and validate alpha signals using rigorous statistical analysis and backtesting.
•Build research pipelines to clean, organize, and analyze large structured and unstructured datasets.
•Leverage AI and machine learning to improve feature engineering, prototype ideas, and refine investment models with the Portfolio Manager.

Key Requirements

•Strong Python skills with scientific computing libraries including Pandas, NumPy, SciPy, and scikit-learn.
•Experience with financial time series analysis, statistical modeling, feature engineering, and hypothesis testing.
•Familiarity with backtesting frameworks, predictive modeling, and signal evaluation.
•Knowledge of machine learning/AI techniques, including large language models, for quantitative research.
•Working knowledge of SQL and cloud-based data platforms with large-scale structured and unstructured datasets.

Experience:Quantitative financeMachine learningAlternative data

Skills:ResearchStatistical analysisFeature engineeringHypothesis testingCollaboration

Languages:English

Tech Stack:PythonPandasNumPySciPyScikit-learnSQLAIMachine learningLarge language models

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

1 day ago

Commodities Quant Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Houston

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key Responsibilities

•Develop financial time series models and predictive forecasting techniques across energy and commodity markets.
•Source, research, evaluate, and incorporate alternative datasets into the investment process.
•Design, test, and validate alpha signals using rigorous statistical analysis and backtesting.
•Build research pipelines to clean, organize, and analyze large structured and unstructured datasets.
•Leverage AI and machine learning to improve feature engineering, prototype ideas, and refine investment models with the Portfolio Manager.

Key Requirements

•Strong Python skills with scientific computing libraries including Pandas, NumPy, SciPy, and scikit-learn.
•Experience with financial time series analysis, statistical modeling, feature engineering, and hypothesis testing.
•Familiarity with backtesting frameworks, predictive modeling, and signal evaluation.
•Knowledge of machine learning/AI techniques, including large language models, for quantitative research.
•Working knowledge of SQL and cloud-based data platforms with large-scale structured and unstructured datasets.

Experience:Quantitative financeMachine learningAlternative data

Skills:ResearchStatistical analysisFeature engineeringHypothesis testingCollaboration

Languages:English

Tech Stack:PythonPandasNumPySciPyScikit-learnSQLAIMachine learningLarge language models

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