Manager, Credit Risk & Decision Science (Credit Risk Scoring)

This leadership position will plan, direct and manage the credit scoring function. This role will manage a group of seasoned data scientists through the development, implementation and monitoring of credit risk scores for all lending asset types. Leads team to develop and maintain models and frameworks for optimal decision-making while balancing competing trade-offs. Serve as subject matter expert regarding business functions, systems, policies and/or procedures. Manage daily activities of professional employees and/or supervisors. Support executive management in developing and executing strategic plans. Work is performed under limited supervision.

• May develop underwriting, account management, pricing, optimization and simulation models to optimize Lending decisions
• May oversee the development, implementation, and use of credit scoring models and account management strategies
• May develop and maintain price optimization and elasticity models for risk-based pricing, credit line optimization models to minimize risk exposure, and profitability models that allow for optimization of the various trade-offs to achieve Lending's business goals
• Maintain thorough knowledge of credit bureau data, tools and initiatives as well as newer advancements in Machine Learning and AI, and how they may be leveraged to improve Lending's credit decisions
• May develop simulation models for capacity planning and business process improvement to improve operational efficiency, and member service and satisfaction
• Optimize business operation performance by analyzing current and forecasting future performance to support strategic initiatives
• Manage the collection, correlation, analysis, and reporting of data and studies of organizational information to drive lending operations, business decisions, and mitigate risk/loss
• Maintain thorough knowledge of and ensure compliance with applicable federal and state laws, rules, regulations and NFCU policies and procedures
• Develop and maintain team-specific components of the Division Annual Financial Plan (AFP)
• Lead or participate in organization-wide project teams; monitor projects assigned to the department and ensure milestones are completed on schedule
• Develop and implement new/updated policies, procedures, goals and priorities as necessitated by demands, changing conditions, and/or management request
• Identify and resolve operational and performance gaps and obstacles; develop and implement changes and improvements
• Leverage operations research techniques to optimize the performance of Lending's products and operations
• Manage and lead the simulation and optimization of credit policy decisions utilizing various profit/loss scenarios to ascertain current/future financial impact; make appropriate recommendations
• Lead development of ROA modeling to ensure that product pricing appropriately addresses income objectives
• Maintain understanding of business direction, environment and strategies and work closely with stakeholders to ensure analytic output addresses business needs
• Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage
• Perform supervisory/managerial responsibilities
  • Ensure adequate/skilled staffing; select employees
  • Establish performance goals and priorities
  • Prepare, conduct and review performance appraisals
  • Develop, mentor and counsel staff
  • Provide input and/or prepare budget requirements for Annual Financial Plan (AFP)
  • Ensure section/branch goals and objectives align with division/department strategy
  • Ensure efficiency of operations
  • Leadership Level - Supervise daily activities
• Perform other duties as assigned

• Advanced knowledge of applicable federal and state, laws, rules and regulations that govern the functions of the Consumer/Credit Card Lending
• Extensive progressively responsible experience leading and managing an analytics operation in a large financial institution, including operational and regulatory risks and controls
• Advanced knowledge of any of the following: asset/liability management, financial accounting, cost accounting, budgeting principles and practices, statistics, finance, and/or mathematic modeling
• Advanced knowledge of banking/financial industry trends, products and services
• Extensive experience in the use of statistical modeling software (e.g. SAS or SPSS), and with QRM systems and software
• Advanced knowledge of the concepts of asset-liability management
• Extensive experience demonstrating thought-leadership, initiative-taking, decision-making and creativity solving business problems
• Extensive experience managing multiple priorities independently and/or in a team environment to achieve go