STATLOG is a Quebec-based company founded in 2008, offering consulting services to renowned customers in the pharmaceutical, medical, and banking sectors. We design powerful data-driven decision-support tools to predict and measure the economic impact of decisions. Our vision: To become a key player in the design of decision-support solutions, whose success relies on its expertise and unique culture.
The company has experienced strong growth in recent years. Thanks to our talented teams, we were named to The Globe and Mail’s 2024 & 2025 list of Canada’s Top Growing Companies, as well as L’actualité’s Leaders de la croissance ranking.
We offer a collaborative and inspiring work environment with many opportunities and challenges for professional growth and development. We value diversity as a strength and are proud to foster a workplace that embraces and celebrates individuals and their differences. To learn more: statlogeconometrics.com.
As a Consultant for our Credit Risk department, you will be part of a rigorous, talented, and collaborative team. You will be instrumental in delivering data-driven insights that inform critical decisions in economic policy.
You will be expected to take full ownership of:
- Conducting analyses including cleaning data, developing and reviewing code
- Interpreting analytical results and translating them into clear, actionable insights for internal teams and clients
- Ensuring the quality, robustness, and documentation of analyses in line with internal standards and regulatory expectations
- Participating in client discussions and project delivery
- Proposing solutions and using creativity to solve complex problems
We are looking for someone who is passionate about data, curious, detail-oriented, enjoys learning as part of a team, and meets the following qualifications:
- Master’s degree (M.Sc.) in a quantitative field: economics, mathematics, or statistics
- Hands-on experience in data analysis and interpretation of results
- Experience with credit risk modeling
- Experience with at least one statistical programming language (R, SAS, Stata, Python, etc.)
- Excellent oral and written communication skills
- Experience in customer service or scientific communication is an asset
