Director, Credit Reporting and Analytics (Omaha, NE)

First National Bank•Omaha, NE

9d•$97,774 - $166,216•Onsite

About The Position

The Director of Credit Reporting and Analytics is a leadership position that will help shape the credit team’s data strategy, reporting framework, and analytical capabilities. The role will work extensively to help transform complex credit data into actionable business intelligence that drives informed risk decisions and supports various business lines of the Partnership team, including consumer and small business cards. In addition to core responsibilities, this role will lead strategic initiatives across several critical areas, including 1st party fraud and 3rd party fraud detection for Unsecured Credit Lines (UCL) and Point of Sale (POS) products. The Director will also drive the development and refinement of the Open To Buy strategy to optimize credit line availability for customers. A key focus will be on leading an AI project aimed at enhancing predictive analytics and automation within the credit function. The role will also contribute 20% of its capacity to horizontal analytics efforts, providing cross-functional insights that inform broader enterprise strategies.

Requirements

Full understanding of the credit underwriting, account management, Credit Line Increase (CLI) and Credit Line Decrease, BT, payment float strategies and other portfolio management actions
Multi-tasking while running a team and projects in tight deadlines
Exceptional quick and analytical thinker with advanced math background
Hands on and strategic experience in advanced analytics, statistical modeling and machine learning.
Strong management style to deliver heavy analytics under short deadlines
Working under stress and influencing colleagues cross-functionally
Ability to resolve highly complex or unusual business problems
Ability to manage competing and at time complex priorities with a proven track record of sound decision making practices and able to multi-task
Self-driven with an ability to build consensus and influence the organization to achieve business goals
Master’s degree in Statistics, Data Science, Mathematics, Finance, Business or related field
8+ years of experience in credit analytics, risk management, or a related field
3+ years in analytical tools (e.g., SQL, R, Python)
Candidates must possess unrestricted work authorization and not require future sponsorship.

Responsibilities

Fraud Management Lead efforts to detect and manage 1st party fraud at both the point of acquisition and during portfolio management
Establish High Risk Credit Management Manual Review Team & Process
Establish a formal High Risk Credit Management Manual Review process to review risk accounts for 1st party Fraud reasons and close or give credit line decreases to these population
Ensure High Risk Credit Management Manual Review process is established under the Compliance guidelines considering regulatory requirements allowing us to use appropriate adverse actions
Create targeted ad hoc reports to identify suspicious accounts for review by the High Risk Credit Management Manual Review and HRG teams
Open To Buy Strategy
Manage and continuously enhance payment float strategies (Open To Buy strategies) by integrating new data sources and optimizing system capabilities
Optimizing the Open to Buy strategy rules while reducing the bounced payments and charge-offs vs. increasing customer experience through increasing lines available and float less payments for shorter time frames
Bring new tools to complement EWS coverage to increase the coverage ratio for payments
Focus on unauthorized payments and reduce the risk through closing and/or denying name mismatch DDA accounts
1st & 3rd party Fraud review for HIL and UCL
Manage and enhance HIL and UCL strategies for 1st and 3rd party purposes
Align the pre-approval and post-approval manual review population while considering the expectations from Business as well as considering the losses and funding speed of the loans
Add new tools to capture fake documents for high exposure HIL loans which are prevalent in 1st party fraud
Manage daily reviews of HIL and UCL, and the performance of the manual analysts. Complete feedback loop with the Business for collusive merchants and with HIL Risk team for the necessary underwriting strategies
Horizontal Analytics Support
Support Horizontal Analytics function with his/her analytics based on the required research and enhancements requirements through dedicating 20% of his/her time
Present enhancements in underwriting and portfolio strategies through analytics and make data-driven recommendations to the Origination and Portfolio teams
Leading the Enterprise Fraud function for the Fraud/Credit team with required inputs and analysis to make sure Fraud/Credit is well aligned with the Enterprise Fraud Team and tools
Data Stewardship & Infrastructure & Analytics Leadership
Serve as Credit's primary liaison with the Enterprise Data Management (EDM) team
Act as a data steward and subject matter expert for credit-related data within the enterprise data warehouse and Galaxy ensuring data quality, accessibility, and usability
Promote advance analytics such Machine learning models and Chaid analysis to be able to improve the strategies
Oversee the model development/evaluation while working with EDM and external parties to make sure FNBO uses cutting edge tools while the accuracy and application of those statistical tools are correct
Artificial Intelligence (AI) & Automation
Lead the enhancement of AI applications within Credit and Fraud to drive automation, detect anomalies, and improve operational efficiency
Contribute to the design of fraud underwriting processes within new Galaxy platform implementations
Partner with VP of IT to be able to implement new AI use cases which will help to make Fraud/Credit reporting more automated to save employee time. Create tools with IVY and w/o IVY (e.g. w/ Zest) to detect payment and behavior anomalies to detect Fraud earlier
Team Leadership & Development
Manage a team of analysts and partner with EXL to effectively prioritize tasks and strategic projects
Mentor and train analysts to elevate their analytical skills and business impact, aiming for top-tier analytical maturity across the team
Cross-Functional Influence
Collaborate with cross-functional teams to ensure strategic recommendations are understood, aligned, and successfully implemented across business units.
Agility & Executive Communication
Respond swiftly to ad hoc, data-intensive business questions, often with limited information, and provide actionable insights
Keep Senior Management Team (SMT) informed on progress and outcomes of ad hoc requests and strategic initiatives