Sr. Quantitative Modeler

Hyundai Corporation (usa)
Irvine, CA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$200,000.0 - $320,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Information Engineering Data Warehousing R (Programming Language) Statistical Hypothesis Testing Python (Programming Language) Machine Learning SAS (Software) Model Validation

Job description

The Sr. Quantitative Modeler will act as a lead modeler in the research and development of predictive quantitative models and delivering model-related analytic support. This position provides technical and methodological leadership and expertise for the application of advanced analytic methods and techniques in the business environment. HOW YOU WILL MAKE AN IMPACT

  • Lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring.
  • Maintain model production processes and perform additional analysis as needed to support business functions across HCA.
  • Partner with internal and external auditors, model validation, legal and compliance, accounting, and other stakeholders to ensure regulatory compliance and adherence to internal policies.
  • Partner with IT, data engineering and EDW teams to validate and improve data quality.

Requirements

  • Minimum 8 years predictive modeling experience with focus on credit risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and auto industry.
  • Master’s degree in a quantitative field such as Statistics, Data Science, Economics, Econometrics, Mathematics.
  • Ph.D. preferred.
  • Deep understanding of statistical and data science, theoretical foundations and techniques, such as generalized regression, survival analysis, sampling design, hypothesis testing, stochastic processes etc.
  • Proficiency in Machine Learning algorithms and models, and familiarity with Artificial Intelligence approaches and platforms.
  • Financial and auto industry knowledge, including credit risk, credit bureau data, regulatory requirements, market trends.
  • Ability to translate abstract statistical concepts and analytic results into actionable business insights.
  • Proficiency in statistical programming utilizing SAS, Python, R or other related software and platforms.
  • Strong communication and collaboration skills.
  • Attention to detail and timelines.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance
  • Disability insurance, At HCA, our people drive our success. That’s why we offer a competitive rewards package that supports your health, financial future, and overall wellbeing-at work and beyond.

Benefits Highlights

  • 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

About the company

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. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact-while working in a diverse, inclusive, and values-driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups.

Apply for this position

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