Senior Portfolio Analytics & Strategy Analyst – Data, Modeling & Analytics

Responsibilities

• Design analytical models to assess the risk of the card portfolio.
• Analyze large datasets using advanced tools and methodologies to generate actionable insights and support strategic decision-making.
• Conduct portfolio reviews, loss forecasting, and identify opportunities to improve returns and drive business growth.
• Utilize tools such as Python, SQL, Excel, and Tableau to support data analysis and visualization.
• Work with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies.

• Experience across related fields including consumer lending, credit risk analytics, loss forecasting, and portfolio performance analysis.
• Strong proficiency in analytical tools and programming languages (e.g., Python, SQL).
• Expertise in data visualization and reporting using Excel and Tableau.
• Excellent communication skills with the ability to translate complex data into clear business insights.
• Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience.
• Certifications are often desired.

• analytical models
• data analysis
• loss forecasting
• portfolio performance analysis
• data visualization
• reporting

• communication
• strategic decision-making
• translating complex data