Role Overview

Reporting to the Director, Analytics, you will be working with traders and senior analysts to support the trading and analysis of a diverse portfolio of physical energy and related derivative products. Your primary function will be to support and maintain existing mathematical programming models, utilizing AMPL and CPLEX, and to develop new ones from concept to implementation. Additionally, you will use your strong technical skills and growing industry knowledge to assist in a wide variety of ways throughout the Front Office including deal valuation, data analysis and tool building. This position will be relied upon to support the achievement of our purpose and long-term goals by fostering our values: teamwork, accountability, integrity, service, ingenuity and safety.

Key Responsibilities

Skills and knowledge:

  • Fundamentals of probability and statistics
  • MS Excel (expert level) MS PowerPoint, Tableau
  • Scripting in one of the mathematical programming languages, ideally AMPL
  • Programming in at least one of VBA, Python, C++/C#, SQL
  • Technical writing
What you need

Qualifications:

  • Education: A Master’s degree in Operations Research (or similar) supported by a Bachelor’s degree in a field such as Engineering, Economics or Statistics, or an equivalent combination of educational experience. Completion of a professional development program such as financial analysis or risk management would be an asset.
  • Practical experience: At least five years of quantitative analytical work experience, a substantial part of which has been specifically in operations research. Experience in the energy industry would be an asset.
  • Candidates without an Operations Research background will also be considered provided they have sufficient quantitative and technical experience and aptitude.

General:

  • Demonstrated ability to solve challenging technical problems without the guarantee of adequate or perfect information. The ability to deliver and work on both quick ad-hoc solutions and long-term in-depth models is a necessity.  Experience working with and managing large datasets will be considered an asset.
     
  • Prospective candidates must be self-starters, able to multi-task and build strong relationships both internally and externally utilizing good verbal and written communication skills.  The ability to work under pressure in a very fast paced, open work environment is also considered essential. This challenging position may involve working outside normal business hours/days. If you are team-oriented, able to “make things happen”, and demonstrate strong interpersonal, analytical and problem-solving skills, we want to hear from you.

Application for Quantitative Analyst


We thank all applicants for their interest; however only those selected for an interview will be contacted.
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