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Quantitative Researcher - Discretionary Oil

Squarepoint Capital

Skills

Required

  • Modeling
  • Python
  • investment/asset management
  • Demand Modeling
  • Cushing
  • documenting results

Preferred

  • global crude oil
  • econometric
  • statistical forecasting methods
  • refinery utilization
  • inventory dynamics
  • trade flows
  • geopolitical risk
  • SQL

Squarepoint Services US LLC seeks a Quantitative Researcher - Discretionary Oil for its Houston, Texas location.

Responsibilities

  • Design, develop, and refine fundamental supply-and-demand models for global crude oil markets, incorporating econometric techniques, statistical forecasting methods, and domain-specific variables such as production capacity, refinery utilization, inventory dynamics, trade flows, and geopolitical risk factors to generate actionable market outlooks for the trading desk.
  • Architect and enhance proprietary quantitative analytics and data visualization tools using Python, SQL, and statistical libraries, enabling the desk to semi-systematically evaluate trade hypotheses, backtest market signals, and identify dislocations across derivatives oil complex.
  • Conduct rigorous, time-sensitive quantitative analyses of short-term market dislocations, including supply disruptions, regulatory shifts, policy changes, and data releases, synthesizing structured and unstructured data sources to formulate probabilistic trade recommendations with defined risk-reward parameters.
  • Develop and implement semi-systematic data validation frameworks to assess the integrity, completeness, and timeliness of proprietary and third-party commodity market datasets, applying statistical anomaly detection methods to identify and remediate data quality issues.
  • Oversee and optimize automated data ingestion and transformation pipelines for fundamental market data, ensuring reliable integration of heterogeneous data sources into the desk's modeling and analytics infrastructure.
  • Independently formulate and present proprietary trade ideas to senior traders and portfolio managers by synthesizing outputs from fundamental supply-demand models, applying advanced statistical reasoning and domain expertise in global oil markets to identify asymmetric risk-reward opportunities across the physical and derivatives crude oil complex.

Requirements

  • Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Financial Engineering and 1 year of experience as a Graduate Quantitative Researcher, Junior Fundamental Analyst, or related position for an investment/asset management organization.
  • Must have at least one (1) year of employment experience with each of the following required skills: Modeling using Python; Supply and Demand Modeling for Cushing, Canada, and USGC Crude; Curating, analyzing, transforming, storing, and documenting unique data sets for the purposes of supply and demand construction; and applying Quantitative standards to research and documenting results

Pay

Salary / Rate Minimum/yr: $150,000

Salary / Rate Maximum/yr: $165.000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. 40 hrs/wk. Squarepoint is an EEO/AA employer.