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Manager, Residual Value Risk

Employer
Hyundai Capital America
Location
Balboa, California, United States
Closing date
Oct 29, 2021

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Job Role
Manager
Salary Range
United States - USD - $
Sector
Finance
Contract Type
Permanent
Hours
Full Time
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Description

Who We Are: Through our service brands Hyundai Motor Finance, Genesis Finance*, and Kia Motors Finance, we provide financial products tailored to meet the needs of Hyundai, Genesis, and Kia dealerships nationwide, including dealer inventory and facility financing. And, through these dealerships, we provide indirect vehicle financing and leasing solutions to over 1.7 million retail customers.

Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative.

From our various engagement programs to the unique design of our offices, we strive to foster a connected, fun, positive and rewarding company culture where employees feel appreciated for their contributions, proud of their company, and thrive to be passionately invested in HCA's success.

Global One Company:

Many countries. One identity. Hyundai Capital has offices across the world, including China, Canada, the United Kingdom, Germany, Russia, Brazil and Korea. Our work environments are designed with specific themes in mind to achieve a consistent global identity that reflects our values: light, collaboration, elements of nature and symmetry.

General Summary:

The Manager, Residual Value Risk is responsible for forecasting/setting residual values and managing residual risk for the vehicle lease program. The position utilizes advanced analytics, statistical models, historical results, macroeconomic outlook, auto industry trends, and industry experience. This individual will work closely with Modeling, Remarketing, Finance, Product, and OEM teams.

Duties and Responsibilities:
Develop process and analytics to set residual values for vehicle leases. Incorporate vehicle specific, auto industry, macroeconomic, and other factors that affect residual values. Work closely with Modeling team to understand and enhance statistical models and Product/OEM teams for vehicle information. Analyze auto industry trends that affect future residual values. This includes consumer preferences, vehicle segments, standard/optional equipment, emerging technology, competitive vehicles, and sales levels. Complete reporting and analysis of residual forecasts and actual performance to enhance the residual setting process. Track metrics based on model, trim, and mileage, and collaborate with Remarketing on recent trends. Provide updates to Stakeholders on the market outlook and factors affecting residual values being set. Stakeholders include Residual Committee, Risk, Finance, Product, and OEM teams. Communicate updates through meeting presentations and summarized documents. Performs all other duties as assigned.
Knowledge and Skills:

  • Strong analytical and problem solving skills
  • Ability to analyze and explain complex relationships and data concisely
  • Demonstrate strong presentation, written, and verbal skills
  • Thorough knowledge of auto industry and vehicle leasing
  • Ability to understand and use analytic techniques and predictive model forecasts to evaluate residual value forecasts and market risks
  • Strong PC skills; Excel, PowerPoint, SAS, SQL, Python, and other database management tools


Qualifications

  • Bachelor's degree in Business Administration, Economics, Finance, Mathematics, Statistics, or Computer Science
  • Master's degree preferred
  • 10+ years of business experience required with demonstrated ability in quantitative and qualitative analyses
  • 5+ years of relevant experience in auto industry, captive finance, and setting vehicle residual values
  • Experience analyzing, forecasting, and managing residual value risk
Physical Requirements and Working Condition:

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 office environment.
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