Fraud Analytics Associate

Hyundai Capital America • Irvine, CA

1d • Hybrid

About The Position

The Fraud Analytics Associate supports fraud monitoring, reporting, and analytics activities that help identify and mitigate fraud risk. This role uses established data analytics tools and processes to analyze fraud trends, consumer behavior, underwriting activity, score performance, and potential risk indicators. This role maintains recurring reports and dashboards, performs routine and ad hoc analyses, and summarizes findings for fraud leadership and cross-functional partners. In addition, this role may support manual review activities by analyzing applications or accounts for irregularities or potential fraud indicators.

Requirements

• Minimum 2–4 years of related experience in fraud analytics, risk analytics, credit risk, reporting, data analysis, or financial services operations support.
• Experience using data to support fraud monitoring, trend analysis, reporting, dashboards, or operational risk reviews preferred.
• Working knowledge of credit, underwriting, fraud prevention, collections, or financial services processes preferred.
• Bachelor’s degree or equivalent work experience required.
• Strong analytical skills with the ability to support fraud monitoring, reporting, and trend analysis using established tools and processes.
• Working knowledge of SQL, Excel, and relational databases to query, validate, and analyze datasets.
• Familiarity with SAS, Tableau, or similar analytics and reporting tools used to support fraud reporting, dashboard maintenance, and data analysis.
• Basic understanding of statistics and its application to trend analysis, variance analysis, and fraud monitoring.
• High attention to detail with the ability to identify data issues, anomalies, and potential fraud indicators.
• Ability to prepare clear, concise analytical summaries, reports, and supporting exhibits for technical and non-technical audiences.
• Ability to support process documentation, reporting enhancements, and continuous improvement efforts.
• Effective written and verbal communication skills with the ability to work with fraud, credit, risk, and operations partners.
• Strong problem-solving skills with the ability to support analysis of routine to moderately complex issues under guidance from senior team members.

Nice To Haves

• Auto finance Industry a plus
• Foundational knowledge of Python, R, UNIX, or other analytics tools preferred, with the ability to learn and apply new technologies.

Responsibilities

• Support development and maintenance of fraud analytics used to track fraud exposure, fraud trends, and score performance.
• Perform data validation and variance analysis to help identify changes or anomalies in fraud trends.
• Support development and upkeep of fraud-specific data tables used for monitoring, reporting, and analysis.
• Maintain and refresh fraud monitoring reports and Tableau dashboards, to ensure data accuracy and consistency.
• Perform routine quality checks on fraud analytics outputs and escalate data issues or anomalies.
• Assist with updates or enhancements to existing fraud analysis tools to improve usability and efficiency.
• Conduct ad hoc analyses to support identification of fraud trends or potential risk indicators by dealer, geography, product, or fraud typology.
• Assist in analyzing fraud score performance and vendor outputs to support review of fraud trends, rule performance, and potential risk indicators.
• Summarize findings clearly and concisely for analytics managers and fraud operations teams.
• Support evaluation of fraud prevention tools and data provided by Credit Reporting Agencies and external vendors.
• Assist with data analysis and benchmarking of fraud tools, score enhancements, or vendor outputs.
• Help prepare supporting analytics, summaries, and exhibits used to evaluate fraud tools, score enhancements, or vendor services.
• Work with fraud, credit underwriting, origination risk, and portfolio risk teams to provide analytical support for fraud prevention initiatives.
• Assist with data pulls, analysis, and documentation used in cross-functional fraud reviews and initiatives.
• Support continuous improvement efforts by identifying data gaps, reporting enhancements, and process efficiencies.

Benefits

• Hybrid flexibility – 4 days in office, 1 day remote
• Vehicle perks – monthly vehicle allowance plus purchase and lease discounts
• Comprehensive health coverage – medical, dental, and vision plans
• Employer-funded HSA contributions to help reduce healthcare costs
• 401(k) with company match and immediate vesting from day one
• 100% company-paid life and disability insurance
• Wellbeing benefits including fitness and health resources
• Leadership programs and career development that support continuous learning
• Paid Volunteer Time Off and a company charitable donation in your honor

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree