Role OverviewThe 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. The Sr. Quantitative Modeler will lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring.
What You Will Do
The Sr. Quantitative Modeler will maintain model production processes and perform additional analysis as needed to support business functions across HCA. The Sr. Quantitative Modeler will partner with internal and external auditors, model validation, legal and compliance, accounting, and other stakeholders to ensure regulatory compliance and adherence to internal policies.
Why It Might Be a Fit
The Sr. Quantitative Modeler will partner with IT, data engineering and EDW teams to validate and improve data quality. The Sr. Quantitative Modeler will have a deep understanding of statistical and data science, theoretical foundations and techniques, such as generalized regression, survival analysis, sampling design, hypothesis testing, stochastic processes etc.
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
- 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
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