Sr. Quantitative Modeler

Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce.

The Sr. Quantitative Modeler will lead the research and development of predictive quantitative models and provide model-related analytic support. This role offers technical and methodological leadership for advanced analytic methods in a business environment.

• Medical, dental, and vision plans with no-cost and low-cost options
• Annual employer HSA contribution
• 401(k) matching and immediate vesting
• Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level:
  Associate / Sr. Associate: $350;
  Manager / Sr. Manager: $600;
  Director: $800;
  Executive Director: $900; VP or Above: $1,000
• 100% employer-paid life and disability insurance
• No-cost health and wellbeing programs, including a gym benefit
• Six weeks of paid parental leave
• Paid Volunteer Time Off, plus a company donation to a charity of your choice

• 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.

• 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 quantitative fields 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.

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 at home and office environment.

United States−California−Irvine

Job type:
Regular (Full-time), Overtime status:
Exempt. Minimum Salary: $;
Maximum Salary: $.