Sr. Manager, Fraud Analytics and Dealer Monitoring

Job Overview Sr. Manager, Fraud Analytics and Dealer Monitoring (260000GF) is responsible for developing, leading, and continuously enhancing enterprise fraud analytics and dealer monitoring capabilities across the full fraud lifecycle—prevention, detection, investigation support, and control optimization. The role designs and governs a comprehensive dealer performance and risk monitoring framework, establishes early warning indicators and escalation protocols, and delivers executive‑ready dashboards, reporting, and insights spanning credit performance, booking quality, funding exceptions, policy adherence, confirmed fraud, and loss outcomes. Partnering closely with Sales, Consumer Credit/Origination, Servicing, Compliance, Investigations, Digital/Data teams, and OEM stakeholders, the manager translates complex, multi‑source signals into actionable strategies that reduce fraud and repurchase exposure, improve time‑to‑detect, and strengthen dealer network health. The role also measures control effectiveness, drives continuous tuning and emerging‑scheme response, and mentors an analytics team to deliver scalable, data‑driven solutions using modern analytics and AI/ML where appropriate. Responsibilities Analytics & Insights: Lead the development, prioritization, and socialization of fraud‑prevention insights that connect dealer behaviors to downstream outcomes (e.g., early default, loss severity, repurchase exposure). Oversee and drive the creation of executive‑ready analytics, reporting, and evidence‑based narratives by synthesizing signals across underwriting, funding, servicing, and investigations into actionable storylines. Incorporate investigation, servicing, and other multi‑source risk signals into analytics deliverables to strengthen fraud detection, support case triage, and improve decision‑making. Measure and communicate effectiveness of fraud controls and monitoring enhancements (hit rates, false positives, time‑to‑detect, prevented loss estimates) and drive continuous tuning based on observed drift and emerging schemes. Partner with Digital/Data teams to advance scalable fraud analytics capabilities and support the use of modern analytics, machine learning, and AI where appropriate. Design, implement, and oversee a comprehensive dealer monitoring framework covering credit performance, fraud risk, operational risk, compliance, and profitability. Establish early warning indicators (EWIs) and escalation protocols to proactively identify dealers exhibiting adverse trends or emerging risks, including emerging fraud schemes, funding exception trends, brand‑specific and cross‑brand shifts in fraud typologies, dealer concentration, or customer behavior, and performance gaps or drift in fraud models, rules, and vendor scores. Guide the team in developing dealer risk segmentation dashboards and monitoring routines that support governance, escalation, and decision‑making, leveraging large data sets and emerging technologies such as machine learning and AI. Monitor dealer‑level and portfolio‑level performance across key metrics including delinquency, losses, booking quality, funding exceptions, confirmed fraud, and policy adherence. Cross‑Functional Collaboration: Partner with Sales, Dealer Development, Consumer Credit/Origination, Servicing, Compliance, Investigations, and Digital/Data teams to strengthen fraud detection, case support, control design, and dealer monitoring effectiveness. Act as a thought partner to business and field partners, balancing risk management with growth, portfolio performance, and dealer relationship objectives. Represent the fraud analytics and dealer monitoring function in cross‑functional forums and present findings and recommendations to senior leadership and key stakeholders. Lead, mentor, and develop a team of analytics professionals, fostering a culture of continuous improvement, analytical rigor, and business partnership, while setting clear goals, performance metrics, and development plans for team members. Qualifications Minimum 8 years’ experience in operational analytics development, data analysis, and building data insights and supporting narratives. Minimum 3 years supervisory experience. Bachelor’s degree in Finance, Economics, Business, Statistics, Data Analytics, or a related field. Proven experience in fraud analytics, fraud risk management, or fraud strategy. Working knowledge of developing or monitoring fraud detection rules, models, or early warning indicators. Working knowledge measuring control effectiveness, false positives, hit rates, and model/rule drift. Strong cross‑functional experience with Compliance, Investigations, Credit, Sales, Servicing, and Data/Digital teams. Proficiency with SQL, Python/SAS, BI tools, and preferably machine learning/AI applications in risk analytics. Demonstrated experience managing dealer performance analytics and/or dealer risk oversight within a captive or auto lender. Strong analytical skills with the ability to interpret large, complex datasets. Advanced proficiency in data and reporting tools (e.g., SQL, Tableau, SAS, Python, or similar). Strong understanding of auto finance KPIs, dealer economics, and performance drivers. Ability to design scalable dashboards and monitoring tools for senior and field leadership. Strong presentation and executive communication skills. Proven leadership experience managing and developing high‑performing teams. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Ability to successfully manage, train, develop and mentor direct reports. Strong written and verbal communication skills including ability to present to leadership. Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. Other Information Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at‑home and office environment. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values‑driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. This notice only applies to our applicants who reside in the State of California. #J-18808-Ljbffr