Our client, a leading financial institution in Downtown Toronto, is looking for a Manager, Portfolio Analytics & Insights - SAS, SQL, Python to analyze performance across acquisition channels, programs, and segments to identify key risk drivers. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Location: Hybrid | Downtown, Toronto

Duration: 6 Months

Typical Day in role:

1. Portfolio Monitoring & Analytics

- Design, develop, and maintain portfolio monitoring dashboards and scorecards (Power BI or equivalent) covering:
- Credit performance, delinquency trends, losses, PCL, vintages, and early warning indicators
- Perform deep-dive analytics to investigate portfolio trends, variances, and emerging risks
- Analyze performance across acquisition channels, programs, and segments to identify key risk drivers
- Execute complex data extraction, transformation, and analysis using SQL, SAS, Python, and/or Excel

2. Insights Generation & Data Storytelling

- Translate analytics into clear, structured, and actionable insights for senior leadership
- Support development of executive-ready materials for governance forums, regulatory requests, and business reviews
- Provide recommendations to improve portfolio performance, credit quality, and risk-adjusted returns
- Delivering timely and high-quality responses to ad-hoc analytical requests

3. Data Management, Quality & Controls

- Ensure data accuracy, integrity, and consistency across reporting and analytics outputs
- Perform reconciliation, validation, and quality control checks across multiple data sources
- Proactively identify and resolve data issues, gaps, and inconsistencies
- Maintain documentation on data logic, definitions, and methodologies to support audit and governance requirements

4. Process Enhancement & Automation

- Identify opportunities to improve efficiency, scalability, and consistency of reporting processes
- Drive automation and standardization initiatives using SQL, SAS/Python, and BI tools




- Contribute to the evolution of portfolio monitoring frameworks and data infrastructure

5. Stakeholder Collaboration & Business Support

- Partner with stakeholders across Product, Finance, Collections, and Strategy teams to support initiatives such as:
- Recent programs or policy changes
- Credit strategy adjustments
- Portfolio risk assessments
- Provide subject matter expertise on portfolio performance and risk drivers
- Build strong working relationships and influence decision-making through data-driven insights

Must Have Skills:

- 8+ years' experience in data/statistical analysis
- 5+ years' experience with large datasets using SAS, SQL, Python
- Experience converting SAS/SQL code to Python code

Nice-To-Have Skills:

- Retail credit risk knowledge, especially credit cards and ULOC - is a strong preference
- Experience with consumer credit performance data & risk metrics
- Experience working in financial services analytics environments
- Experience with data visualization & reporting tools: Power BI, Excel

Soft Skills Required:

- Strong analytical thinking and problem-solving skills
- High attention to detail and data accuracy
- Effective communication and data storytelling
- Ability to balance multiple priorities in a fast-paced environment
- Ownership mindset with a proactive approach to identifying opportunities

Education:

- Bachelor’s degree in quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Finance, Computer Science)
- Graduate degree considered an asset

FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $50/hr -$66/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

📌 Manager, Portfolio Analytics & Insights - SAS, SQL, Python (Toronto)
🏢 Finance Professionals
📍 Toronto