• Candidate with Auto lending experience preferred
• (Data Analytics of Auto Loans)
• Remediation regulatory agency experience
• Large data sets, digging through data
• Work flow SAS Enterprise guide
• Write SQL understand pass parameters complex joints
• SAS and SQL query large set of data statistical analysis, Python is a huge plus
• Required skills Strong SAS Enterprise Guide SAS and SQL and Python is a Huge Plus

• 5-6+ years of coding experience (preferably in Python, SAS, Statistical Analysis or SQL)
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Prefer: 3+ years of automobile lending experience with a bank or auto manufacturer finance division

• **Huger Plus to have 3+ years of credit bureau experience, especially with , Equifax, Experian, or Trans Union

• ideal resource is the following:

• Loves working with data
• Dislikes repetitive, mundane, tedious work to such a degree that automation is the only way to go
• Strong in coding in one or more of the following: Python, SAS, SQL.
• Has some lending experience, either with an auto lending company or a credit bureau
• Creative in solving problems, especially thinking outside-the-box to come up with solutions
• Has the flexibility to follow team procedures, yet also has the courage to suggest improvements
• Is an excellent juggler, especially if you can keep cool under pressure while multi-tasking
• Really enjoys working closely as part of a team and has the people skills to do that well
• Can accept feedback without taking it personally (knows when and when not to push back)
• Takes initiative to find solutions to issues preventing work from completing on time
• Can prioritize multiple assignments with aggressive deadlines

Data Analytics Auto team provides data to support remediations for harmed customers from the auto lending portfolio. The team works closely with auto lending subject matter experts, remediation leads, data quality experts, and other team members. The team is passionate about providing the best quality data possible to best remediate harmed customers.

Consultants supporting Customer Remediations, you will dig deep into the Auto Lending Data sources and find the customer harm. You will write documentation, query data, and provide final data populations which support specific customer remediations.