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

Responsibilities

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes
• Responsible for running complex business performance, risk and operational analytics
• May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products
• Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions
• Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance
• Establishes baselines for strategies and tracks actual performance to expectations
• Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk
• Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies
• Designs / enhances standard reporting suites for regular product / portfolio reviews
• Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite

• Experience with consumer credit strategy development, optimization, reporting, and monitoring
• Analytics experience supporting credit cards, personal loans, or mortgage products preferred
• Technical proficiency in:
  Python, Hadoop, and Tableau (or similar programs)
• Familiarity with machine learning, advanced analytics and statistical modeling using Python/R
• Strategic thinker with the ability to translate complex business questions into analytical frameworks and actionable recommendations
• Attention to details, ability to create clear, crisp, and actionable insights, proven experience managing analytics and delivering actionable insights
• Strong storytelling skills with the ability to write and present complex data findings to both technical and non-technical audiences, including senior and executive leadership
• Demonstrated ability to align analytics strategies with business goals and stakeholder needs
• Exceptional project management, organizational, and communication skills
• Strong problem-solving skills, with the ability to handle complex data challenges and find practical solutions
• 3+ years of relevant / direct industry experience