Quantitative Researcher, Commodities

Posted 2 Days Ago
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New York, NY, USA
In-Office
100K-150K Annually
Mid level
Financial Services
The Role
Perform quantitative and fundamental analysis of commodity portfolios across energy, agriculture, metals, and livestock. Build models and signals, create screens and tools, automate processes with Python, conduct portfolio attribution and risk/return analysis, value OTC commodity swaps, and monitor trading limits to support trade generation and client reporting.
Summary Generated by Built In

Employer:                  O’Connor Alternative Investments, LLC

Job Title:                    Quantitative Researcher, Commodities

Worksite Address:    110 East 59th Street, New York, NY 10022

Job Description: Perform quantitative analysis on commodity portfolios, including measuring risk and return characteristics. Generate calculations for clients and prospects. Perform fundamental analysis on commodity sectors including energy, agriculture, livestock, precious metals, and industrial metals. Perform portfolio attribution to help clients understand the biggest drivers of performance, portfolio turnover rates, the frequency of trading, and largest risks being taken in the portfolio. Perform quantitative research to generate new signals to complement current strategies. Expand data-driven quantitative models and help the team generate alpha. Develop and enhance quantitative screens and tools with simple graphical user interface and help the team by providing quantitative analysis of potential trade opportunities. Develop scripts in Python that can be used to automate various processes for enhanced efficiency. Predict which

commodities will have higher returns than other commodities, and which maturity contracts will have higher returns than different maturity contracts. Monitor key trading limits across all

portfolios, including client-directed investment guidelines, and regulatory position limits.

Responsibilities

Minimum Requirements:  Requires a bachelor’s degree or foreign equivalent in Finance, Statistics, Accounting or a closely related field. Requires four (4) years of experience in a quantitative financial role with an investment firm. Experience must include: Commodities markets, investment theory, predicting returns of commodities. Modeling fundamental drivers of commodities. Developing quantitative screens and tools to be used for trade generation. Statistical tools and time-series analysis. Programming languages including Python, R, MATLAB and SQL. Research tools such as StarQube, Factset. Calculating valuations of Over the Counter (OTC) commodity swap trades. Financial analysis from annual reports and financial reports. Salary Range: $100,000- $150,000 /yr.

Skills Required

  • Bachelor's degree in Finance, Statistics, Accounting or closely related field
  • Four years of experience in a quantitative financial role at an investment firm
  • Experience with commodities markets and predicting commodity returns
  • Knowledge of investment theory and modeling fundamental drivers of commodities
  • Experience developing quantitative screens and tools for trade generation
  • Proficiency in statistical tools and time-series analysis
  • Programming experience in Python, R, MATLAB and SQL
  • Familiarity with research tools such as StarQube and FactSet
  • Ability to calculate valuations of OTC commodity swap trades
  • Experience performing financial analysis from annual and financial reports
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