JOIN OUR TEAM

A career with Powerex is fast paced, dynamic and empowering. Our culture is supportive, collaborative and fun, and we are proud of it. We have a strong commitment to the development and wellbeing of our employees. This is exemplified with our average tenure of 15+ years on our trade floor. 

We are looking for a results-oriented Quantitative Analyst with a passion for learning to join our Front Office Analytics team.

ABOUT THE ROLE:

The energy industry is complex and in a constant state of change. Our traders and decision makers need actionable insights delivered in a timely manner. Your expertise, passion and ingenuity will help us solve new problems, leverage our data and seek a higher understanding of the myriad dynamics of the industry.

As a Quantitative Analyst at Powerex every day is unique. You will work closely with traders, marketers, directors and analysts to collaborate in a wide variety of different activities such as: 

  • Build and maintain financial models that are accurate and flexible. 
  • Create compelling visualizations that tell stories with our data. 
  • Figure out business problems at the forefront of the energy transition, explain and persuade those around you in the merits of your insights. 
  • Assist traders and marketers with custom deal-structures for more mature and new products. 
  • Leverage the latest data science technologies including our state-of-the-art cloud data warehouse, machine learning and AI to analyse both structured and unstructured data. 

QUALFICATIONS & EXPERIENCE 

  • At least three years of experience working as an analyst in a business environment 
  • An undergraduate degree in finance, economics, engineering, math, physics or a similar highly analytical field. Completion of or current enrolment in a Master’s program and/or CFA would be an asset 
  • Excellent skills in standard business software (e.g. Excel, Tableau or equivalent), supported by programming skills in at least one of VBA, Python, or SQL, and the aptitude and love for building things and learning new tools 
  • A passion for using technology to bring data and decision makers together to solve complex business problems 

NICE TO HAVE:

  • An understanding of the dynamics of financial or commodity markets and the operations of a trading organization.  Prior experience with North American power and gas markets, and/or the renewable energy industry would be ideal but not essential.
  • A familiarity with financial modelling, derivative analysis, monte-carlo simulation, and statistical analysis 
  • Previous experience in deal valuation; ideally, you’ve learned both the value and limitations of models
  • Knowledge of data science including machine learning and AI techniques for predictive modeling and an excitement for the potential of new developments in these areas to transform the way we work. 

COMPENSATION

The starting compensation ranges from $90k to $120k per year dependent on your experience and education. Powerex also offers a defined benefit pension plan, a comprehensive suite of health and welfare benefits, and generous time off

DURATION & LOCATION

This is a full-time permanent position, and you will be working at our office in downtown Vancouver (near both Skytrain and Seabus).

ABOUT POWEREX

At Powerex we believe that a diverse team is a strong team, and our dedication to equity and inclusion is intertwined with our performance-based culture. We strive for excellence in everything we do, and we recognize that diverse perspectives and backgrounds fuel innovation and drive superior performance. 

If you feel up to the challenge and want to be part of a high performing team, within a fast paced and dynamic company, we would love to hear from you. Please submit your resume and cover letter via our Careers page. Deadline is October 14, 2024

Application for Quantitative Analyst


We thank all applicants for their interest; however only those selected for an interview will be contacted.
Upload your file
Upload your file
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.