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Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Quantitative Researcher - Discretionary Oil

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeHouston, TX, USA$150k - $165k /yrIn-person

About the Job

Requirements

  • A minimum of a Master’s degree or foreign equivalent in Financial Engineering.
  • At least one year of experience as a Graduate Quantitative Researcher, Junior Fundamental Analyst, or in a related position for an investment or asset management organization.
  • At least one year of employment experience modeling using Python.
  • At least one year of employment experience with supply and demand modeling for Cushing, Canada, and United States Gulf Coast crude.
  • At least one year of employment experience curating, analyzing, transforming, storing, and documenting unique datasets for supply and demand construction.
  • At least one year of employment experience applying quantitative standards to research and documenting results.

Responsibilities

  • Design, develop, and refine fundamental supply-and-demand models for global crude oil markets using econometric techniques, statistical forecasting methods, and domain-specific variables, including production capacity, refinery utilization, inventory dynamics, trade flows, and geopolitical risk factors, to generate market outlooks for the trading desk.
  • Architect and enhance proprietary quantitative analytics and data visualization tools using Python, SQL, and statistical libraries to evaluate trade hypotheses, backtest market signals, and identify dislocations across the oil derivatives complex.
  • Conduct time-sensitive quantitative analyses of short-term market dislocations, including supply disruptions, regulatory shifts, policy changes, and data releases, by synthesizing structured and unstructured data sources into 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 fundamental supply-and-demand model outputs and applying statistical reasoning and global oil-market expertise to identify asymmetric risk-reward opportunities across the physical and derivatives crude oil complex.

About the Company

Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and global markets for institutional investors. Its approach relies on a large data platform and advanced technology to power research and model-based trading decisions, with portfolios continually adjusted in response to market data. The firm differentiates itself through a broad, multi-asset, multi-frequency framework, a global footprint with offices in thirteen cities, and a collaborative culture that emphasizes rigorous research and disciplined execution. Its goal is to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic, data-driven investment processes.

Company size
501-1,000
Company stage
Not listed
Total funding
$1.4B
Headquarters
London, United Kingdom
Founded
2014

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