Navy Federal is looking to solve the problem of model risk, which is the potential for adverse consequences arising from decisions based on incorrect or misused model outputs and reports, by ensuring that models are tested, challenged, and assessed for their effectiveness.
Requirements
- Skill in Python or R
- Skill in SQL and querying (able to pull/transform your own data)
- Experience in using classification models to solve business problems
- Demonstrates an understanding of the modeling lifecycle
- Skill in data mining, data wrangling, and data transformation
- Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
- Pursuing master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or other related field
Responsibilities
- Leverage technologies – including Python and R – to analyze and gain insights within large data sets
- Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology.
- Using statistical practices, analyze current and historical data to make predictions, and identify risks, and opportunities, enabling better decisions on planned/future events
- Provide analytics insights and solutions to solve complex business problems
- Examine data from multiple sources and share insights with leadership and stakeholders
- Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision-making
- Develop and maintain an understanding of relevant industry standards, best practices, business processes, and technology used in modeling and within the financial services industry
Other
- Pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2026 or later
- Ability to understand complex business problems
- Skill in communicating actionable insights using data to technical and non-technical audiences
- Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran
- Location: Remote | 820 Follin Lane, Vienna, VA 22180
