Data Analytics Manager, Python, SAS & SQL – Retail Banking Products

Job Description

Data Analytics Manager, SAS & SQL – Retail Banking Products:
On behalf of our Banking client, Procom is searching for a Data Analytics Manager, SAS & SQL – Retail Banking Products for a 6-month role. This position is a hybrid position with 3 days onsite at our client’s Toronto office.

Data Analytics Manager, SAS & SQL – Retail Banking Products - Job Description:
The Manager, Portfolio Analytics & Insights, is responsible for delivering high-quality portfolio monitoring, analytics, and insights for the Unsecured Lending portfolio. This role operates as a senior individual contributor with emerging leadership responsibilities, supporting the Senior Manager/Director in driving data-driven decision-making and enhancing monitoring capabilities.

Data Analytics Manager, SAS & SQL – Retail Banking Products - Responsibilities:
• Portfolio Monitoring & Analytics
• Insights Generation & Data Storytelling
• Data Management, Quality & Controls
• Process Enhancement & Automation
• Stakeholder Collaboration & Business Support

Data Analytics Manager, SAS & SQL – Retail Banking Products - Mandatory 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

Data Analytics Manager, SAS & SQL – Retail Banking Products – Nice-to-Have Skills:
• Retail credit risk knowledge, especially credit cards and ULOC
• Experience with consumer credit performance data & risk metrics
• Experience working in financial services analytics environments
• Experience with data visualization & reporting tools: Power BI, Excel

Data Analytics Manager, SAS & SQL – Retail Banking Products – Assignment Length:
This is a 6-month contract position.

Data Analytics Manager, SAS & SQL – Retail Banking Products - Start Date:
ASAP.

Data Analytics Manager, SAS & SQL – Retail Banking Products - Assignment Location:
Toronto, Ontario, Canada. This is a hybrid role requiring 3 days in the office per week.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.