VP, Enterprise Fraud Risk Management

Join Triumph Financial!

At Triumph Financial, we’re focused on creating value by driving business and communities of all sizes toward the future. That’s why we’re looking for passionate, solutions-oriented people to join our team. As a values-driven financial service company, our goal is to help our clients succeed and our communities prosper – and that starts with forward-thinking professionals dedicated to our purpose of Helping People Triumph.

Position Summary

Lead the Company’s second line enterprise fraud risk function. This role will focus on overseeing fraud risk management to identify, assess, and mitigate fraud to the Company and our customers. The ideal candidate will embrace change, influence a culture of fraud risk management throughout the Company and adapt the program to fit our unique risk profile and growth while also prioritizing customer experience. This role will interface extensively with business lines, fraud prevention / operations teams, and the BSA/AML function in executing and overseeing the fraud risk mitigation program.

Essential Duties & Responsibilities

Oversight and Governance

• Lead and manage the Company’s fraud enterprise risk management program in coordination with BSA/AML, business leaders, and fraud teams in the first line.  This includes developing an overarching fraud framework and policy across businesses and products;

• Establish fraud risk appetite metrics and thresholds in collaboration with business lines based upon the Company’s risk appetite statement and enterprise risk management framework;

• Provide oversight on fraud risk mitigation activities within the Company, including account onboarding and transactions monitoring across payment rails.

Fraud Identification, Assessment, and Mitigation

• Collaborate with business lines to establish and enhance processes to identify and mitigate fraud;

• Assess fraud and prevention processes – ensuring appropriate action plans are in place including with new products, services, and vendors, where applicable;

• Assist business lines in conducting root-cause analyses on material fraud cases to drive continuous improvement of controls;

• Lend expertise in the configuration of fraud and financial crime monitoring systems including transactions monitoring and identity verification in collaboration with first-line teams and the BSA/AML team.

Monitoring and Analytics

• Monitor external fraud and financial crime trends across the enterprise to identify emerging themes and potential mitigation strategies including reporting to management and board committees;

• Work closely with data analytics teams to develop enhanced monitoring to be more responsive to emerging fraud trends;

• Stay abreast of emerging fraud scenarios in the banking and trucking industry.

Experience & Education

The successful candidate will possess regulatory and compliance management skills.  Additionally, the ideal candidate should possess the following:

• Bachelor’s degree with a combination of knowledge, experience and skills sufficient to perform the role;

• 10+ years of demonstrated experience with developing and/or maintaining fraud risk management programs and/or frameworks;

• Strong understanding of fraud schemes and techniques, particularly those related to payments and payment systems;

• Strong understanding of data analytics and reporting;

• CFE, ACFE or other similar certification preferred but not required.

Experience & Education

• Influence - Identifies and maintains strong relationships with key stakeholders; Seeks to understand the goals and challenges of stakeholders; Able to effectively communicate and drive progress on initiatives; Builds commitment and overcomes resistance.

• Adaptability - Changes approach or method to best fit the situation; Comfortable and humble enough to absorb new information and evolve direction as needed.

• Strategic Thinking - Develops risk strategies that align with strategic objectives; Considers both short-term and long-term impacts, Maintains awareness of industry best practices and trends.

• Data-driven - Biased toward drawing conclusions based on data and facts; Focused on identifying and collecting data to make decisions; Able to synthesize data to influence decision-makers.

• Problem Solving