Navy Federal Credit Union
Senior Data Scientist Risk Management
- +1
- +5
- Vienna, Virginia, United States
- +1
- +5
- Vienna, Virginia, United States
À propos
Provide independent effective challenge to the models developed by the organization’s business units. This includes conducting model validation, statistical analyses, building benchmark/challenger models, assessing model risk, assessing model performance, ensuring documentation completeness, and identifying and presenting findings to various stakeholders within the business units. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.
Responsibilities
Conduct model validations by evaluating conceptual soundness, assessing data suitability, reviewing statistical and analytical tests, performing outcome evaluation, and monitoring performance
Provide subject matter expertise to identify key model assumptions, limitations, and weaknesses, and suggest solutions to address model risk
Develop benchmark or challenger models to evaluate the robustness of the model under review
Prepare and present comprehensive reports to model developers and owners, outlining the analyses conducted, results obtained, and recommendations for improvement
Perform additional assigned duties as required
Qualifications
Excellent technical writing
Proficient in R, Python, and SAS for analyzing large datasets and building/validating predictive models
Strong knowledge of analytical models, including generalized linear models, competing risk hazard, time series, and machine learning (e.g., XGBoost, Random Forest)
Preferably 2+ years in model development or validation in the areas of Underwriting, Credit Risk Strategy, CECL, Stress Testing/Capital Planning, Collections, or Fair Lending.
Preferably thorough understanding of model governance across the model life cycle
Preferably familiarity with Navy Federal Credit Union's instructions, standards, and procedures
Desired Qualifications
Master or PhD in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field, or equivalent experience
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
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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.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Compétences idéales
- Machine Learning
- Python
- R
- SAS
- XGBoost
Expérience professionnelle
- Data Scientist
Compétences linguistiques
- English