Principal Data Scientist - Consumer Finance

Principal Data Scientist - Consumer Finance in Lewisville, Texas Posted 03/21/22

• Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
• Named one of the top three fastest-growing banking brands in the U.S. in 2020.
• Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
• Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.

• Fast paced, highly collaborative, teamwork-oriented environment
• Make an immediate impact in this high visibility role
• Base salary of $120-140k with bonus potential and excellent benefits package
• Top-notch leadership committed to developing people

• Charlotte, NC - Will sit Hybrid (3 days in office, 2 days remote)

• • Lead complex analytics projects which require technical sophistication and ability to navigate ambiguity; Serve as primary checkpoint for external macroeconomics, consumer health and benchmarking data • Apply advanced data mining to support predictive analytics (e.g., customer segmentation, clustering) for Ally auto finance asset portfolio management; Independently prepare and analyze large, account-level consumer data from internal and external sources to identify customer behavior and strong risk indicators for Ally auto finance consumer • Ability to think strategically, use sound judgement, and balance short and long-term risk decisions; Strong communication and collaboration skills; ability to work effectively across multiple team • Understanding of risk management concepts and key performance drivers within consumer lending portfolios; Perform ad-hoc analysis, prepare crisp summary, and deliver recommendation • Managing projects of various size/complexity and day-to-day tasks independently in fast paced environment; Mentor junior members in the team

• • 5 to 10 years financial risk analytics, data science and/or predictive modeling work experience • Bachelor's Degree Preferred in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics) • Minimum 3 years of hands-on experience working with large, consumer account-level datasets using SQL and SAS programming • Good knowledge of statistics and data mining (e.g., Correlation, Regression, Decision Tree segmentation), and programming skills with exploratory data analysis using Python, R or SAS • Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders • Highly self-motivated, with the ability to work effectively in fast paced environment