C

Concora Credit

Vice President, Risk - Fraud Strategy & Analytics

Full-TimeDeadline 7/31/27
No salary listed
Expert
Bachelor's
Beaverton, OR, USA
In Person
Finance & BankingRisk Management
No H1B Sponsorship

About the job

Requirements
  • A bachelor's degree or equivalent experience is required.
  • At least 10 years of experience in the consumer lending industry is required.
  • At least 5 years of hands-on experience with fraud strategy and analytics, preferably in the consumer credit space, is required.
  • At least 5 years of experience or familiarity with statistical analysis tools and data software languages such as SAS, R, Python, SQL, and Excel is required.
  • At least 5 years of experience managing a team of analysts and data scientists is required.
  • A solid understanding of retail or consumer lending businesses is required.
  • Very strong analytical, strategic, and white-space thinking skills are required.
  • The ability to communicate effectively and influence others across functions is required.
Responsibilities
  • Lead the fraud strategy analytics and modeling team to enhance fraud risk capabilities.
  • Guide, coach, and motivate a team consisting of analysts through a director.
  • Own fraud strategy for identity fraud and existing account fraud, including transaction fraud, payment fraud, and account takeover, in the credit card and private-label business space.
  • Minimize fraud losses while driving continuous customer-experience improvements.
  • Design and enhance the organization's fraud strategy roadmap.
  • Partner with risk leadership and business and operational organizations to drive rapid change across the organization.
  • Communicate the state of fraud and updates or recommendations to key stakeholders.
  • Evaluate and implement new data and solutions to improve fraud defenses.
  • Guide data scientists and analysts toward optimal outcomes using statistical and machine-learning modeling techniques in fraud risk modeling.
Desired Qualifications
  • An advanced degree in Statistics, Econometrics, Mathematics, Engineering, Financial Engineering, Operations Research, Physics, or Technology is preferred.
  • Cutting-edge knowledge of fraud-related developments in the consumer credit space is preferred.
  • Familiarity with the latest data, modeling techniques, technologies, and solutions used to fight fraud is preferred.

About the company

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