Job description
Overview:
About Southeast Toyota Finance
Job Description:
This Associate will work in the Analytics Department of Southeast Toyota Finance, a division of JM Family Enterprises, and will be responsible for developing analytical solutions using statistics, machine learning, and advanced data science techniques to help make improved business decisions. The candidate will be tasked with gathering and integrating large volumes of data to develop complex predictive models to drive actionable results and insights especially in the areas of risk management and portfolio analytics.
The Candidate must have excellent statistical and critical thinking skills and can clearly articulate complex models and concepts to technical and non-technical stakeholders, while also collaborating on insights with other modelers and business partners. The Candidate must have hands-on experience developing SAS SQL queries and conducting data analysis, computer programming skills, knowledge of machine learning/statistical software packages (e.g. Python, R, SAS, etc), and hands-on experience applying machine learning/statistical/forecasting techniques. It is also important the Candidate can develop production-ready code that is efficient, maintainable, and deployable. The Candidate must also be passionate about data with a high level of curiosity, collaborative, able to operate in ambiguity, very detail-oriented, have the creativity to try new approaches, able to handle multiple tasks, have strong time management skills, willing to learn and improve, and remain focused on department goals and objectives.
Job Requirements:
About JM Family Enterprises, Inc.
JM Family Enterprises, Inc. was founded by automotive legend, Jim Moran in 1968. It is a privately held company with $18 billion in revenue and more than 5,000 associates. Rooted in automotive and united in its strong culture and core values, JM Family is in the business of helping other businesses succeed. As a long-term partner, it is invested in its companies, associates and its communities. Driven by exceptional performance, current subsidiaries are in the automotive, business services, financial services and franchising. Its family of companies includes: Southeast Toyota Distributors, the world’s largest independent distributor of Toyota vehicles; JM&A Group, a company committed to improving automotive dealers’ performance by offering Finance & Insurance products and services, dealership training and consulting; World Omni Financial Corp. (dba Southeast Toyota Finance), a captive financial services company driven to delivering an exceptional dealership and customer experience for Toyota customers in the Southeast; JM Lexus, one of South Florida’s leading Lexus dealers; Home Franchise Concepts®, a multi-brand franchise network consisting of Budget Blinds®, Tailored Living® featuring PremierGarage®, Concrete Craft®, AdvantaClean®, Kitchen Tune-Up®, Bath Tune-Up®, Two Maids® and Aussie Pet Mobile®, Futura Title & Escrow, a family of leading independent title and escrow companies which includes Alliance Title & Escrow, AmeriTitle, Pacific Alliance Title, Kittitas Title and Escrow, and Rollease Acmeda, a leading specialty distributor of window covering systems.
JM Family has earned various awards for its culture, products and services, including 24 consecutive years on Fortune’s 100 Best Companies to Work For list. Interact with JM Family on Facebook, Twitter, Instagram and LinkedIn.
About Southeast Toyota Finance
Southeast Toyota Finance (part of World Omni Financial Corp.) is a captive financial services company driven to delivering an exceptional dealership and customer experience for Toyota customers in the Southeast. The company offers a broad range of products and services to the 177 Toyota dealers in Alabama, Florida, Georgia, North Carolina, and South Carolina. Southeast Toyota Finance is the leading provider of finance and lease options for new Toyota vehicles within its footprint, consistently ranking at the top in market share and dealer satisfaction. The company is committed to strong dealer relationships and customer service, providing finance, retail and lease programs, college graduate and military rebate programs that drive customer and dealer loyalty. The company’s portfolio of dealer loans includes inventory financing, real estate, and construction loans.
Southeast Toyota Finance is a subsidiary of JM Family Enterprises, Inc., a privately held company with $18 billion in revenue and more than 5,000 associates, which is headquartered in Deerfield Beach, Florida. JM Family has earned various awards for its culture, products and services, including 24 consecutive years on Fortune’s 100 Best Companies to Work For list. Interact with JM Family on Facebook, Twitter, Instagram and LinkedIn.
Job Description:
This Associate will work in the Analytics Department of Southeast Toyota Finance, a division of JM Family Enterprises, and will be responsible for developing analytical solutions using statistics, machine learning, and advanced data science techniques to help make improved business decisions. The candidate will be tasked with gathering and integrating large volumes of data to develop complex predictive models to drive actionable results and insights especially in the areas of risk management and portfolio analytics.
The Candidate must have excellent statistical and critical thinking skills and can clearly articulate complex models and concepts to technical and non-technical stakeholders, while also collaborating on insights with other modelers and business partners. The Candidate must have hands-on experience developing SAS SQL queries and conducting data analysis, computer programming skills, knowledge of machine learning/statistical software packages (e.g. Python, R, SAS, etc), and hands-on experience applying machine learning/statistical/forecasting techniques. It is also important the Candidate can develop production-ready code that is efficient, maintainable, and deployable. The Candidate must also be passionate about data with a high level of curiosity, collaborative, able to operate in ambiguity, very detail-oriented, have the creativity to try new approaches, able to handle multiple tasks, have strong time management skills, willing to learn and improve, and remain focused on department goals and objectives.
Job Requirements:
- Minimum of Master’s degree in Statistics, Mathematics, Econometrics, and/or Quantitative Analysis required
- Minimum of 2 years of computer programming, data science, and statistics experience
- Minimum of 2 years using Python to develop models to solve real-world business problems
- Minimum of 2 years using SAS
- Experience with cloud computing services (Azure is preferred)
- Experience in the consumer lending industry is preferred
- Experience using Microsoft Power BI is preferred
- Experience using Microsoft Office products preferred
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