Quantitative Power Analyst - Power Flow

CWP Energy; Montreal; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is on the hunt for a motivated Analyst to join their dynamic Power Flow team. This role offers a unique opportunity to tackle complex problems using advanced techniques in applied mathematics, statistics, and machine learning. You'll be processing large datasets, developing predictive models, and automating workflows to enhance decision-making. The company prides itself on an entrepreneurial culture that fosters creativity and innovation, making it an exciting place to grow your career. If you're passionate about renewable energy and data analysis, this position is perfect for you.

Benefits

Full group insurance

RRSP program

Vacation policy

Public transit incentive

Gym access

Lounge and locker rooms

Qualifications

• Master’s degree in Engineering, Mathematics, Computer Science, or similar.
• 2+ years of experience with large datasets analysis.

Responsibilities

• Analyze large power market datasets for insights on supply, demand, and pricing.
• Develop predictive models for congestion and pricing trends.

Skills

Data Analysis

Python

SQL

Machine Learning

Statistical Regression

Problem Solving

Education

Master’s degree in a quantitative field

Tools

Agile Software Principles

Job description

At CWP Energy, we are at the forefront of the renewable energy revolution, leveraging our deep expertise in energy trading to drive innovation. Our entrepreneurial culture fosters creativity, encourages experimentation, and rewards risk-taking, setting us apart in the industry.

We are seeking a highly motivated Analyst to join our Power Flow team. This is a unique opportunity to contribute to a high-performance group that thrives on solving complex problems with cutting-edge techniques in applied mathematics, statistics, optimization, and machine learning.

About the Power Flow Team:

Our team comprises passionate scientists, engineers, and mathematicians dedicated to advancing state-of-the-art methods in energy market analysis. We work with an extensive database of clean data, addressing challenging problems that are ideal for algorithmic trading strategies.

Key Responsibilities:

• Process and analyze large power market datasets to extract insights on key fundamentals such as supply, demand, pricing, and grid congestion across the U.S. power grid.
• Develop and maintain predictive models for congestion and pricing trends, supporting data-driven trading strategies.
• Execute, refine, and optimize power flow models, ensuring data accuracy and model reliability for real-time market applications.
• Automate data processing, reporting, and analytical workflows using SQL and Python to improve efficiency and decision-making.
• Support senior Power Model Analysts by implementing and running model updates, executing analysis, and translating data into actionable insights.
• Continuously enhance data pipelines to improve the speed and accuracy of market forecasts and trading signals.
• Stay up to date with power market trends and leverage new data sources, methodologies, and technologies to improve forecasting and analysis.

Qualifications:

• Master’s degree in a quantitative field (Engineering, Mathematics, Computer Science, Physics, Finance, etc.).
• 2+ years of experience with analysis of large datasets.
• Power Market experience (an asset).
• Proficiency in SQL and Python.
• Experience with agile software principles (an asset).
• Knowledge of machine learning and advanced statistical regression techniques (an asset).
• Ability to thrive in a fast-paced, results-oriented environment.

What we offer:

• An entrepreneurial results-driven corporate culture.
• Full group insurance and the opportunity to contribute to an RRSP program.
• A vacation policy upon arrival.
• A public transit incentive program.
• A Give & Match program.
• A beautiful office with a gym, a lounge, locker rooms, and showers.

This position requires presence at the office. We believe that this presence encourages interactions that have a positive impact on our performance. As a result, we encourage employees to maintain this presence to reap the benefits.

We collect your information via a secure applicant tracking system, where access is restricted according to the position. Data, including CVs and interview notes, are stored in this system. If you have any objections or wish to withdraw your consent, please contact us at [e-mail].