Senior Mobility Risk Analytics Lead (Hybrid)

HYUNDAI Translead, Inc; Irvine (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid flexibility

Vehicle perks

Comprehensive health coverage

Employer-funded HSA contributions

401(k) with company match and vesting

Life and disability insurance

Wellbeing benefits

Leadership programs and career dev

Paid Volunteer Time Off

Job summary

Hyundai Capital America is seeking a Sr. Commercial Mobility Risk Analytics Associate to support risk analytics and reporting across Commercial Vehicle Finance, Equipment, Truck, Trailer and Mobility portfolios.

You will gather data, build dashboards, and maintain reports to enhance credit decisions and risk oversight. The role requires 4–6 years of quantitative analysis experience and strong Python/SAS/SQL skills.

Qualifications

• Minimum 4-6 years related experience in quantitative analysis in an automotive captive, banking or consulting environment.
• Experience with Python, SAS or SQL for product development and pricing, financial reporting, originations and portfolio management, and tracking and monitoring key risk indicators.
• Proven analytical skills.
• Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience.
• Proficient skills in Python, SAS, or SQL.
• Strong verbal and written communication skills and ability to explain complex data analysis.

Responsibilities

• Data Collection and Analytics
• Monthly and Quarterly Loss Forecast Reporting
• Projects

Skills

Python

SAS

SQL

Analytical skills

Communication skills

Education

Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science

Job description

Hyundai Capital America is seeking a Sr. Commercial Mobility Risk Analytics Associate to support risk analytics and reporting across Commercial Vehicle Finance, Equipment, Truck, Trailer and Mobility portfolios.

You will gather data, build dashboards, and maintain reports to enhance credit decisions and risk oversight. The role requires 4–6 years of quantitative analysis experience and strong Python/SAS/SQL skills.