Description
Who We Are
Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement.
We Take Care of Our People
Along with competitive pay, as an employee of HCA, you are eligible for:
• 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:
o Associate / Sr. Associate: $350
o Manager / Sr. Manager: $600
o Director: $800
o Executive Director: $900
o 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
What to Expect
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.
What You Will Do
• 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.
Qualifications
What You Will Bring
• 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.
Work Environment
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.
The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successfu