Navy Federal Credit Union - Winchester, VA
posted about 2 months ago
The Lending Analytics Credit Risk & Decision Science team at Navy Federal Credit Union is a dynamic group of approximately 30 skilled analysts, modelers, and data scientists dedicated to developing analytical solutions that enhance the profitability of Lending portfolios while ensuring member service and needs are met. The team focuses on creating models for credit card line assignments and increases, pricing strategies for consumer loans, and various other analytical projects. We are currently seeking a Data Scientist Summer Associate who will engage in projects aimed at improving analytics tracking, dashboarding, and automation. In this role, the Data Scientist Summer Associate will provide independent data science and machine learning insights using a variety of data sources, including member, financial, and organizational data. The goal is to support critical decision-making processes across the organization. The associate will be responsible for creating descriptive, predictive, and prescriptive models that drive impactful results. The position requires leveraging modern technologies such as Python, R, Scala, and Spark to analyze large datasets. The associate will utilize statistical practices to analyze both current and historical data, enabling the identification of risks and opportunities that inform better decision-making for future events. The role also involves managing and architecting big data to build high-impact data models, evaluating model design and performance, and collaborating with team members and stakeholders to deliver strategic analytic solutions from design to deployment. Additionally, the associate will create data visualizations and dashboards to monitor risk trends relevant to loss and originations modeling, conduct model validations, and lead initiatives to streamline data preparation and reporting processes.