Quantitative Analyst

Powerex; Vancouver; On-site; CAD 110,000 - 148,000; Full time

Benefits offered by this job

Extended health benefits

Pension plan

Office in Vancouver

Job summary

Powerex Corp. is seeking an experienced Quantitative Analyst with a strong operations research background to join our Analytics team in Vancouver. You will develop and maintain mathematical models, perform deal valuation, and build data pipelines to support Front Office trading decisions.

The role requires deep analytical capability, proficiency in programming, and ability to translate complex problems into actionable insights in a fast-paced energy trading environment.

Qualifications

• Bachelor's degree in Engineering, Economics, Mathematics, or Statistics.
• At least five years of quantitative analytical work in operations research.
• Ability to translate complex problems into mathematical models.
• Strong probability/statistics foundation and model selection judgment.
• Proficiency in Excel and at least one visualization tool.
• Scripting in AMPL and CPLEX; programming in Python/C++/SQL.

Responsibilities

• Maintain and enhance mathematical programming models for Front Office trading support.
• Design and develop new quantitative models solving energy market problems.
• Perform deal valuation and quantitative analysis for trading decisions.
• Build analytical tools and data pipelines for trading workflows.
• Conduct large-scale data analysis to inform strategy and risk assessment.
• Document findings and communicate with traders and analysts.

Skills

Operations Research

Python programming

AMPL & CPLEX

Excel

Data pipelines

Education

Bachelor's degree in Engineering/Math/Statistics/Economics

Tools

Tableau

Snowflake

Job description

Powerex Corp. is the wholly owned energy marketing subsidiary of BC Hydro, responsible for marketing clean electricity across North America. We are seeking an experienced Quantitative Analyst with a background in Operations Research to join our Analytics team. This role is ideal for someone who combines deep analytical expertise with strong programming skills and a passion for applying both to complex, real-world energy market problems. The ideal candidate is intellectually curious, self-driven, and comfortable delivering rigorous analysis in a fast-paced trading environment. Reporting to the Director, Analytics, you will work closely with traders and senior analysts to support Front Office operations through mathematical modelling, deal valuation, data analysis, and tool development. Your primary function will be to support and maintain existing mathematical programming models and to develop new ones from concept to implementation. 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

• Maintain and enhance existing mathematical programming models, ensuring reliability, accuracy, and alignment with evolving business needs
• Design and develop new quantitative models from concept through to implementation, applying operations research techniques to real-world energy market problems
• Perform deal valuation and quantitative analysis to support Front Office trading decisions
• Build and maintain analytical tools and data pipelines that support trading operations and workflows
• Conduct data analysis using large datasets, extracting insights that inform trading strategy and risk assessment
• Collaborate with traders, analysts, and other stakeholders to understand business requirements and translate them into analytical solutions
• Contribute to the continuous improvement of Front Office tools, models, and processes through innovation and automation
• Produce clear technical documentation and communicate findings effectively to both technical and non-technical audiences
• Support ad-hoc analytical requests while managing longer-term modelling projects in parallel

Qualifications

Required

• Bachelor's degree in a field such as Engineering, Economics, Mathematics, or Statistics
• At least five years of quantitative analytical work experience, a substantial portion of which has been specifically in operations research. Candidates without a formal operations research background will be considered provided they demonstrate sufficient quantitative and technical experience and aptitude
• Demonstrated ability to solve challenging technical problems without the guarantee of adequate or perfect information, delivering both quick ad-hoc solutions and long-term in-depth models
• Experience solving real-world problems by translating them into constraints represented by computer models
• Strong grounding in probability and statistics, and the judgement to know which methods fit a given problem
• Ability to explain quantitative reasoning to traders and commercial staff, and to defend it under challenge
• Expert-level proficiency in MS Excel and at least one data visualization or dashboarding tool such as Tableau
• Scripting experience in a mathematical programming language, ideally AMPL & CPLEX
• Programming experience in at least one of VBA, Python, C++/C#, or SQL (Snowflake, dbt)
• Proven experience working with large datasets and managing end-to-end data pipelines
• Strong technical writing skills
• Strong verbal and written communication skills, with the ability to build effective relationships with both technical and business stakeholders
• Ability to work independently, multi-task, and thrive under pressure in a fast-paced, open work environment

Preferred

• A Master's degree in Operations Research or another analytical field, and/or successful completion of a professional development program such as a CFA
• Experience in the energy industry
• Experience working with LLMs such as Claude to support research and the development of tools, models, and data pipelines
• Knowledge or experience in hydrology, hydropower engineering, time-series forecasting, or general data science

Work Arrangements & Other Requirements

• Full-time, in-office position based at our Vancouver, BC office
• Must be located in the Vancouver/Lower Mainland area
• Must be legally authorized to work in Canada
• A background check and references will be required for the position

What We Offer

• Compensation: The expected salary range for this role is $109,680 - $148,400
• Comprehensive benefits package including extended health, dental, vision, and pension
• Opportunity to work at the intersection of advanced quantitative analysis and North America's energy markets, contributing directly to Front Office trading and decision-making
• A collaborative, innovation-driven environment that embraces modern analytical tools, AI, and emerging technologies in energy trading
• Professional development support, including funding for relevant certifications, training, and continuing education

About Powerex

Powerex Corp. is a market leader in the trading and marketing of clean and renewable wholesale electricity and associated environmental products. We are at the forefront of the clean energy transition, helping our wholesale customers throughout Western North America meet their increasingly ambitious environmental goals. Our customers include electricity and natural gas utilities, global energy companies, large financial institutions, and global technology companies. Powerex's financial success directly benefits British Columbians by helping to lower BC Hydro's electricity rates. Fast paced, dynamic, and empowering are words that describe a career with Powerex. We pride ourselves on having a supportive and fun culture, and a strong commitment to the development and wellbeing of our employees. With an average tenure of 15+ years on our trade floor, Powerex stands out as an employer of choice in Vancouver. Ask any Powerex employee what they love about their job, and their first comment will likely be "the people I work with every day." 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. Final hiring decisions are ultimately made by humans. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us.