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Quantitative Researcher - Discretionary Oil

ExperiencedNo visa sponsorship
Squarepoint Capital logo

at Squarepoint Capital

Hedge Funds

Posted 12 days ago

No clicks

**Quantitative Researcher - Discretionary Oil** - Design, refine global crude oil supply-demand models using econometrics, statistical forecasting, and domain-specific variables. - Architect, enhance quantitative analytics tools using Python, SQL, and statistical libraries for trade hypothesis evaluation and backtesting. - Conduct time-sensitive analyses of market dislocations, formulating probabilistic trade recommendations with risk-reward parameters. - Develop data validation frameworks, optimize automated data pipelines, ensuring reliable data integration. - Present proprietary trade ideas to senior traders, leveraging advanced statistical reasoning and domain expertise. - Requires Master's in Financial Engineering, plus 1 year of relevant experience. Proficient in Python, supply-demand modeling, data curation, and quantitative standards. - $150,000 - $165,000 base salary (40 hrs/wk), EEO/AA employer.

Compensation
$150,000 – $165,000 USD

Currency: $ (USD)

City
Houston
Country
United States

Full Job Description

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

Duties: 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: Must have a minimum of a Masters 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

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.

Quantitative Researcher - Discretionary Oil

Compensation

$150,000 – $165,000 USD

City: Houston

Country: United States

Squarepoint Capital logo
Hedge Funds

12 days ago

No clicks

at Squarepoint Capital

ExperiencedNo visa sponsorship

**Quantitative Researcher - Discretionary Oil** - Design, refine global crude oil supply-demand models using econometrics, statistical forecasting, and domain-specific variables. - Architect, enhance quantitative analytics tools using Python, SQL, and statistical libraries for trade hypothesis evaluation and backtesting. - Conduct time-sensitive analyses of market dislocations, formulating probabilistic trade recommendations with risk-reward parameters. - Develop data validation frameworks, optimize automated data pipelines, ensuring reliable data integration. - Present proprietary trade ideas to senior traders, leveraging advanced statistical reasoning and domain expertise. - Requires Master's in Financial Engineering, plus 1 year of relevant experience. Proficient in Python, supply-demand modeling, data curation, and quantitative standards. - $150,000 - $165,000 base salary (40 hrs/wk), EEO/AA employer.

Full Job Description

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

Duties: 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: Must have a minimum of a Masters 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

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.