Fraud Analytics Manager
CreditOne
Description
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy, drive operational performance, and advance an AI-enabled fraud operations model. This leader will be accountable for delivering measurable improvements in customer experience, productivity, and risk outcomes through data-driven decisioning, AI/ GenAI adoption, and global vendor optimization. The ideal candidate brings deep expertise in fraud and disputes management, a strong vendor management experience, and a proven ability to translate AI capabilities into operational impact. This role requires a balance of people leadership, analytical rigor, and transformation execution within a dynamic, regulated environment. Essential Job Functions
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy, drive operational performance, and advance an AI-enabled fraud operations model. This leader will be accountable for delivering measurable improvements in customer experience, productivity, and risk outcomes through data-driven decisioning, AI/ GenAI adoption, and global vendor optimization. The ideal candidate brings deep expertise in fraud and disputes management, a strong vendor management experience, and a proven ability to translate AI capabilities into operational impact. This role requires a balance of people leadership, analytical rigor, and transformation execution within a dynamic, regulated environment. Essential Job Functions
- Lead & Develop Talent
- Build and coach high-performing fraud and disputes teams, aligning capability development with an AI-augmented workforce model.
- Focus talent on high-value activities requiring judgment, investigative strategy, and complex decision-making, while leveraging automation for routine tasks.
- Drive AI & Process Transformation
- Identify and implement opportunities to deploy GenAI, AI, and machine learning to improve fraud detection, fraud and dispute case handling, and customer interactions.
- Partner with analytics and technology teams to operationalize AI use cases into scalable workflows.
- Fraud & Disputes Management
- Lead day-to-day fraud and dispute intake, investigation, and resolution across all channels
- Ensure adherence to SLAs, productivity targets, and quality standards
- Manage capacity, forecasting, and staffing to meet fluctuating volumes
- Oversee escalations and complex/high-risk fraud and dispute cases
- Regulatory & Compliance Oversight
- Ensure compliance with Reg E, Reg Z, network rules (Visa / MasterCard / American Express), and internal policies
- Maintain audit readiness (internal, external, regulatory reviews)
- Partner with Compliance, Legal, and Risk on control design and remediation
- Drive documentation standards for investigations and decisioning
- Vendor & Global Operations Leadership
- Manage and optimize on and offshore vendor partnerships, ensuring alignment to performance, quality, and customer experience standards.
- Leverage data and technology to drive consistent performance across globally distributed teams.
- Performance & Operational Excellence
- Own and deliver against key performance indicators (KPIs), ensuring consistent achievement of productivity, quality, and customer experience targets.
- Utilize advanced reporting (e.g., Tableau, Snowflake) to monitor performance, identify trends, and drive continuous improvement.
- Risk, Compliance & Quality
- Ensure all operations meet regulatory, audit, and quality assurance standards.
- Establish and maintain robust, audit-ready documentation aligned with industry best practices.
- Cross-Functional Collaboration
- Partner across Fraud Risk, Product, Technology, and Customer Experience teams to enhance processes and drive end-to-end outcomes.
- Lead and influence change management initiatives supporting fraud and AI transformation programs.
- Operational Governance
- Oversee multiple lines of business and ensure standardized, scalable processes.
- Develop and maintain agent- and site-level performance reporting frameworks to support decision-making.
- Additional Responsibilities
- Travel (domestic and international) to support vendor oversight and operational alignment.
- Perform other duties as required.
- Experience
- 5+ years of experience in fraud and disputes and/or customer operations (end-to-end). College degree preferred.
- Hands-on experience deploying or working with AI/GenAI tools, automation, or data-driven workflows in an operational setting.
- Proven track record managing global/vendor-based contact center operations.
- Strong knowledge of Reg E, Reg Z and card network dispute rules (Visa, M/C, & American Express).
- Proven ability to manage high-volume, deadline-driven operations.
- Experience with audit/compliance environments
- AI & Data Capabilities
- Demonstrated ability to identify, prioritize, and implement AI-driven opportunities within operational environments.
- Strong proficiency in data analysis, performance reporting, and insights generation (Tableau, Snowflake, or similar platforms)
- Leadership & Execution
- 3+ years proven success leading and developing teams within large, complex organizations.
- Strong project and change management capabilities, with experience delivering transformation initiatives.
- Ability to operate effectively in a fast-paced, evolving, and technology-driven environment.
- Core Competencies
- Execute Excellence: Drives disciplined, high-quality operational delivery
- Risk & Control Mindset: Prioritizes compliance and customer fairness
- Strategic Thinking: Connects operational insights to broader business goals
- People Leadership: Builds strong, accountable, and engaged teams
- Continuous Improvement: Challenges status quo and drives transformation
- Exceptional communication and stakeholder management skills.
- Strong business judgment and decision-making under uncertainty.
- Deep commitment to customer experience and continuous improvement.
- High level of adaptability, agility, and ownership.
- Fraud & Disputes Management
- Experience implementing GenAI-assisted investigation tools, case summarization, or agent copilots.
- Exposure to AI governance, model risk, or regulated AI deployment frameworks.
- Demonstrated ability to bridge business and technical teams to deliver operational AI solutions.
Vacancy posted 1 day ago
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