Quantitative Analyst (Calgary, Alberta)

Love's - Houston, TX

Full-time - Entry Level

Houston, TX

10,001+ employees

Gasoline Stations and Fuel Dealers

About the position

The Quantitative Analyst position at Love's Travel Stops & Country Stores is focused on supporting Musket Energy Canada, ULC, based in Calgary, Alberta. The role involves developing and implementing pricing models, conducting market research, and creating analytical trading tools to enhance trading decision-making and strategy. The analyst will work closely with the analytics team and traders to refine trading strategies and generate insights from complex data sets.

Responsibilities

• Develop and implement advanced quantitative models to analyze crude market movements, volatility, and correlations.
• Collect, clean, and manage large datasets from various sources, ensuring data accuracy and relevance for analysis.
• Collaborate with the analytics team and traders to develop signals and refine trading strategies.
• Conduct research and statistical analyses, developing pipeline flows, inventory balances, and arb economics via various transportation methods.
• Build and develop crude oil balances for the US and Canada, incorporating regional basis with global modeling.
• Maintain and improve Condensate Equalization modeling to evaluate pipeline economics.
• Develop refinery input/output modeling, including LP modeling.
• Conceptualize valuation strategies and continuously improve mathematical models, translating algorithms into code.

Requirements

• High school diploma or equivalent required.
• Bachelor's degree, Master's degree, or Ph.D. in Finance, Economics, Mathematics, Statistics, Engineering, or a related field required.
• Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field required.
• Proficiency in probability statistics, including time-series analysis, machine learning, and pattern recognition.
• Hands-on programming experience required, particularly in Python and R.
• 2 or more years in the commodities trading space (front or mid-office).
• Quant Finance skills, including theoretical and practical knowledge of financial and real options.
• Proficiency in creating and using algorithms to investigate large data sets.

Nice-to-haves

• A general understanding of optimization theory, linear/non-linear models, and various financial models (Risk models & T-Cost models) is a plus.
• Prior experience working in a data-driven research environment preferred.

Benefits

• Health insurance
• 401k retirement plan
• Paid holidays
• Professional development opportunities
• Employee discount programs