Join Oliver Wyman as a Quantitative Data Analyst in the innovative DNA division. Collaborate to solve complex challenges with data-driven insights for varied global industries. As a member of our Data and Analytics team, you will work closely with teams and clients, from concept to execution.

Your role focuses on developing and evaluating analytical solutions tailored to client needs and ensuring impactful project deliverables. This is an excellent opportunity to influence diverse sectors. Key Responsibilities:

- Design machine learning toolkits for predicting credit downgrades
- Utilize analytics for portfolio decarbonization modeling
- Optimize promotional strategies through data analysis
- Validate customer-facing AI solutions for banks
- Analyze supply chain risks using live data feeds Requirements:
- Educational background in a quantitative discipline
- Proficiency in Python or R is preferred
- Strong analytical and communication capabilities
- Resilience in a rapid-changing work environment
- Interest in private equity analytics a plus Use your quantitative skills to create a difference at Oliver Wyman.

📌 Quantitative Data Analyst at Oliver Wyman (Toronto)
🏢 Marsh McLennan
📍 Toronto