Quantitative Researcher - Discretionary Oil (Python)

Location: Houston, Texas, United States

Salary: $150,000–$165,000 per year base salary, 40 hours per week

Company

hirify.global is an investment and asset management organization hiring for its discretionary oil research function.

What you will do

• Design and refine fundamental supply-and-demand models for global crude oil markets using econometric techniques, statistical forecasting, and market-specific variables.
• Build quantitative analytics and data visualization tools with Python, SQL, and statistical libraries for trade hypothesis evaluation and signal backtesting.
• Analyze short-term market dislocations caused by supply disruptions, regulatory and policy changes, and data releases.
• Develop data validation frameworks and identify quality issues in proprietary and third-party commodity datasets.
• Optimize automated data ingestion and transformation pipelines for fundamental market data.
• Present proprietary trade ideas and probabilistic recommendations to senior traders and portfolio managers.

Requirements

• Master’s degree or foreign equivalent in Financial Engineering.
• At least 1 year of experience as a Graduate Quantitative Researcher, Junior Fundamental Analyst, or in a related role within an investment or asset management organization.
• At least 1 year of experience modeling with Python.
• At least 1 year of experience with supply-and-demand modeling for Cushing, Canada, and USGC crude.
• At least 1 year of experience curating, analyzing, transforming, storing, and documenting datasets for supply-and-demand construction.
• At least 1 year of experience applying quantitative standards to research and documenting results.

Culture & Benefits

• Full-time employment with a 40-hour work week.
• Base salary range of $150,000–$165,000 per year.
• Equal employment opportunity and affirmative action employer.