Fraud Analytics Associate (260000JV) Irvine, CA
Job Location:
Irvine, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
ATTENTION MILITARY AFFILIATED JOB SEEKERS- Our organization works with partner companies to source qualified talent for their open roles. The following position is available toVeterans Transitioning Military National Guard and Reserve Members Military Spouses Wounded Warriors and their Caregivers. If you have the required skill set education requirements and experience please click the submit button and follow the next steps. Unless specifically stated otherwise this role is On-Site at the location detailed in the job post.
Description
Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance Genesis Finance and Kia Finance we deliver innovative financing leasing and insurance solutions to more than 3 million customers and businesses nationwide.
Were a company driven by growth innovation and people. At HCA youll find opportunities to build new skills expand your career and make a real impactwhile working in a diverse inclusive and valuesdriven environment. Were proud to support our communities through volunteerism philanthropy and engaged Employee Resource Groups.
If youre looking for a fastpaced collaborative workplace where your ideas matter join us as we lead the future of financing freedom of movement. Apply today.
WHAT YOU WILL DO
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 addition this role may support manual review activities by analyzing applications or accounts for irregularities or potential fraud indicators.
HOW YOU WILL MAKE AN IMPACT
Fraud Analytics Metrics and Reporting Support
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.
Fraud Monitoring Reporting & Dashboard Support
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.
Ad Hoc Analysis & Fraud Trend Support
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.
Vendor & Credit Reporting Agency (CRA) Analytics Support
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.
Cross-Functional Analytics & Business Support
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.
Additional Qualifications/Responsibilities
Qualifications
WHAT YOU WILL BRING TO THE ROLE
Minimum 24 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.
Auto finance Industry a plus
Bachelors 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.
Foundational knowledge of Python R UNIX or other analytics tools preferred with the ability to learn and apply new technologies.
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.
Required Experience:
IC
About Company
VetJobs & Military Spouse Jobs works with our employer partners to source, screen, and move qualified talent to the desktops of the Hiring Managers. Application is a two-step process, so please be patient with the team. When you submit to a position on our site your information will ... View more
