Akkodis
Position Title:
Director of Credit Reporting and Analytics Location:
Omaha, NE Rate Range:
130
145k base salary
Summary of the Job The Director of Credit Reporting and Analytics is a leadership position responsible for shaping the credit teams data strategy, reporting framework, and analytical capabilities. This role will transform complex credit data into actionable business intelligence that drives informed risk decisions and supports various business lines, including consumer and small business credit products.
The position will lead strategic initiatives across critical areas, including fraud detection for unsecured credit lines and point-of-sale products. The Director will drive development and refinement of strategies to optimize credit line availability for customers. A key focus will be leading an AI project aimed at enhancing predictive analytics and automation within the credit function. Additionally, approximately 20% of capacity will support horizontal analytics efforts, providing cross-functional insights that inform broader enterprise strategies.
Major Responsibilities Fraud Management Lead efforts to detect and manage first-party fraud at acquisition and during portfolio management. High-Risk Credit Management Manual Review Team & Process Establish a formal manual review process for high-risk accounts under compliance guidelines. Create targeted ad hoc reports to identify suspicious accounts for review. Credit Line Strategy Manage and enhance payment float strategies by integrating new data sources and optimizing system capabilities. Optimize rules to reduce bounced payments and charge-offs while improving customer experience. Implement tools to reduce unauthorized payment risks. Fraud Review for Credit Products Manage and enhance strategies for fraud detection in unsecured credit products. Align manual review processes with business expectations and risk mitigation. Add tools to capture fake documents for high-exposure loans. Oversee daily reviews and feedback loops with business teams. Horizontal Analytics Support Dedicate 20% of time to support horizontal analytics with research and enhancements. Present data-driven recommendations for underwriting and portfolio strategies. Align fraud and credit strategies with enterprise-level tools and teams. Data Stewardship & Infrastructure & Analytics Leadership Serve as liaison with enterprise data management teams. Act as data steward for credit-related data ensuring quality and usability. Promote advanced analytics (e.g., machine learning, CHAID analysis). Oversee model development and evaluation with internal and external partners. Artificial Intelligence (AI) & Automation Lead AI enhancements within credit and fraud to drive automation and anomaly detection. Contribute to fraud underwriting processes in platform implementations. Partner with technology leadership to implement AI use cases for automated reporting and fraud detection. Team Leadership & Development Manage a team of analysts and prioritize initiatives effectively. Mentor and train analysts to elevate analytical skills and impact. Cross-Functional Influence Collaborate with cross-functional teams to ensure alignment and implementation of strategies. Agility & Executive Communication Respond swiftly to ad hoc, data-intensive business questions and provide actionable insights. Keep senior leadership informed on progress and outcomes.
The Ideal Candidate for This Role Knowledge & Skills Deep understanding of credit underwriting, account management, credit line strategies, and payment float. Ability to multi-task under tight deadlines and stress. Advanced analytical thinking with strong math background. Hands-on experience in advanced analytics, statistical modeling, and machine learning. Strong leadership and decision-making skills. Ability to influence cross-functional teams and resolve complex business problems. Education and Experience Masters degree in Statistics, Data Science, Mathematics, Finance, Business, or related field. 8+ years of experience in credit analytics, risk management, or related field. 3+ years of experience with analytical tools (e.g., SQL, R, Python).
Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit:
https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
Director of Credit Reporting and Analytics Location:
Omaha, NE Rate Range:
130
145k base salary
Summary of the Job The Director of Credit Reporting and Analytics is a leadership position responsible for shaping the credit teams data strategy, reporting framework, and analytical capabilities. This role will transform complex credit data into actionable business intelligence that drives informed risk decisions and supports various business lines, including consumer and small business credit products.
The position will lead strategic initiatives across critical areas, including fraud detection for unsecured credit lines and point-of-sale products. The Director will drive development and refinement of strategies to optimize credit line availability for customers. A key focus will be leading an AI project aimed at enhancing predictive analytics and automation within the credit function. Additionally, approximately 20% of capacity will support horizontal analytics efforts, providing cross-functional insights that inform broader enterprise strategies.
Major Responsibilities Fraud Management Lead efforts to detect and manage first-party fraud at acquisition and during portfolio management. High-Risk Credit Management Manual Review Team & Process Establish a formal manual review process for high-risk accounts under compliance guidelines. Create targeted ad hoc reports to identify suspicious accounts for review. Credit Line Strategy Manage and enhance payment float strategies by integrating new data sources and optimizing system capabilities. Optimize rules to reduce bounced payments and charge-offs while improving customer experience. Implement tools to reduce unauthorized payment risks. Fraud Review for Credit Products Manage and enhance strategies for fraud detection in unsecured credit products. Align manual review processes with business expectations and risk mitigation. Add tools to capture fake documents for high-exposure loans. Oversee daily reviews and feedback loops with business teams. Horizontal Analytics Support Dedicate 20% of time to support horizontal analytics with research and enhancements. Present data-driven recommendations for underwriting and portfolio strategies. Align fraud and credit strategies with enterprise-level tools and teams. Data Stewardship & Infrastructure & Analytics Leadership Serve as liaison with enterprise data management teams. Act as data steward for credit-related data ensuring quality and usability. Promote advanced analytics (e.g., machine learning, CHAID analysis). Oversee model development and evaluation with internal and external partners. Artificial Intelligence (AI) & Automation Lead AI enhancements within credit and fraud to drive automation and anomaly detection. Contribute to fraud underwriting processes in platform implementations. Partner with technology leadership to implement AI use cases for automated reporting and fraud detection. Team Leadership & Development Manage a team of analysts and prioritize initiatives effectively. Mentor and train analysts to elevate analytical skills and impact. Cross-Functional Influence Collaborate with cross-functional teams to ensure alignment and implementation of strategies. Agility & Executive Communication Respond swiftly to ad hoc, data-intensive business questions and provide actionable insights. Keep senior leadership informed on progress and outcomes.
The Ideal Candidate for This Role Knowledge & Skills Deep understanding of credit underwriting, account management, credit line strategies, and payment float. Ability to multi-task under tight deadlines and stress. Advanced analytical thinking with strong math background. Hands-on experience in advanced analytics, statistical modeling, and machine learning. Strong leadership and decision-making skills. Ability to influence cross-functional teams and resolve complex business problems. Education and Experience Masters degree in Statistics, Data Science, Mathematics, Finance, Business, or related field. 8+ years of experience in credit analytics, risk management, or related field. 3+ years of experience with analytical tools (e.g., SQL, R, Python).
Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit:
https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance