Overview & Responsibilities + Deliver advanced analytical solutions using advanced statistical and machine learning techniques to drive optimized business outcomes. + Play a key role within a small close-knit team, assuming full responsibility for the day-to-day administrative, operations, compliance, sales leadership, growth, performance, and profitability of a branch office. + Be involved in a managerial training program to enhance skills and encourage internal advancement. + Collaborate with Credit Risk, Marketing, Branch Operations, Account Management, and other functions to identify specific business problems to address. + Partner with business teams to help with Design of Experiments (DOE) and successful incorporation of the solutions into business strategies. + Perform exploratory analysis or leverage the analysis shared by the business functions to brainstorm various advanced analytical solutions. + Build highly adoptable and efficient data pipelines. + Perform data extraction, standardization, transformation, and further data wrangling to prepare the data to apply advanced machine learning or statistical techniques. + Apply advanced machine learning and statistical techniques to develop, validate, deploy, and monitor/maintain predictive models. + Create and maintain a comprehensive model documentation in a centralized location. + Use traditional credit bureaus and other alternative consumer credit data for building consumer lending models such as: Probability of Marketing Response, Probability of Loan Default, Loss Given Default, and CECL Loss Forecasting. + Present model development packages and results to executives and senior managers. + Seek the approval for implementation by presenting compelling business benefits from the solutions. + Work with IT and ensure successful deployment of solutions in the decision engine, including data mapping, providing requirements for data parsing/storage, validating scoring models in production, and troubleshooting to resolve issues. + Create model governance packages once a quarter to monitor stability of the predictive models and share with executives and senior leaders. Requirements + Master's degree in Engineering, Data Analytics, Data Science, Computer Science, or related technical field required. + Five years of experience in consumer lending required. + Any experience required with: Python, SQL, and a data visualization program (i.e., Tableau, Power BI); delivering innovative/effective solutions to address business problems; handling and processing large datasets; working with data processing frameworks; building reliable data pipelines; building advanced analytical solutions using best-in-class machine learning and statistical modeling techniques (i.e., Random Forest, Gradient Boosting, LASSO, Elastic Net); supervised and unsupervised learning techniques; working with data from various bureaus and third-party data providers; and with structured, semi-structured, and unstructured data. + Must have legal authority to work in the U.S. EEOE. Resume to: Tara Dowie, Talent Management Manager, Republic Finance, LLC, 7031 Commerce Circle, Suite 100, Baton Rouge, LA 70809 or tdowie@republicfinance.com. Reference PK25 + job title in cover letter/subject line.