Predictive Modeler III (Model Risk Management)

Location: VA Vienna - Headquarters Full/Part Time: Full-Time Regular/Temporary: Regular

Job Description

Employee Perks

Why You Will Love Being Part of the Navy Federal Team:

*Competitive compensation with opportunities for annual raises, promotions, and bonus potential
*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)
*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses
*Consistently Awarded Top Workplace
*Nationally recognized training department by TRAINING Magazine IND123
*An employee-focused, diverse, and service-oriented workplace environment

Basic Purpose

This Predictive Modeler role will support all aspects of Model Risk Management across a large variety of business areas. The Predictive Modeler provides independent effective challenge to the models developed by the organization’s business units. In doing so, the Predictive Modeler will conduct statistical analyses, create challenger models, assess model risk, and present findings to analysts, modelers, and managers within the business units. The role requires someone that has expertise in a number of subject areas and technical model types. This is a growing function within the organization where there is the opportunity: to work on modeling efforts across the entire enterprise, to innovate in and help guide the maturity progression of the Model Risk Management framework, to manage the relationship with one or more internal business areas, and to provide leadership and support to junior staff in model validations.  


• Assess new and existing model’s overall fit/suitability with its intended use and purpose
• Interact with model developers to gain full understanding of the model under review
• Evaluate conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology
• Ensure compliance with model development best practices, regulatory guidance and documentation standards. Assess risk of using the model under review
• Develop challenger models to assess strength of model under review
• Provide an independent view on model reliability, stability, and robustness including back-testing and benchmarking with internal and external data
• Provide subject matter expertise on models’ strengths and weaknesses, recommend practical solutions to mitigate model risk
• Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement
• Monitor performance of scored models; recommend changes to improve performance
• Guide the maturity progression of Model Risk Management framework. Identify weaknesses and inefficiencies within the framework across the enterprise. Define solutions and lead their execution/implementation 
• Contribute to a culture of collaboration by actively working across business lines, communicating knowledge and business processes to other business units
• Act as a modeling educational resource for teams in the organization new to model development
• Provide and maintain deep and up-to-date knowledge of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
• Lead the validation of high risk/high impact models. Coordinate and guide junior staff as necessary to conduct comprehensive analysis within defined timelines
• Prioritize and scope Model Risk Management’s model validation efforts through collaboration with the business units, review of documentation, and by conducting analyses
• Peer review challenger models and conceptual soundness analyses of junior staff and ensure high quality and consistency of Model Risk Management work products
• Manage the relationship with one or more business units with sophisticated modeling capabilities

Qualifications (All required unless otherwise noted):

• Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science or related field, or the equivalent combination of training, education, and experience
• Experience in managing multiple priorities independently and/or in a team environment to achieve goals
• Advanced Expertise with statistical software (e.g., R, Python, SPSS Modeler, and/or SAS) to manage large data sets and develop predictive models
• Experience in using most of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning. Alternatively, deep expertise in at least one of the above modeling types
• Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Advanced research, analytical, and problem solving skills
• Advanced verbal and written communication skills
• Advanced skill to influence, negotiate & persuade to reach agreeable exchange & positive outcomes
• Significant experience in working with all levels of staff, management, stakeholders, vendors
• Significant experience in presenting technical solutions and/or recommendations
• Advanced skill exercising initiative and using good judgment to make sound decisions
• Advanced skill using innovative thinking to solve problems and facilitate the decision-making process
• Experience developing predictive models for a large variety of business use cases (marketing, financial forecasting, fraud detection, lending, customer churn, staffing, etc.)
• Advanced Expertise in every aspect of the full life cycle of predictive model development (CRISP-DM experience)
• Advanced skill in visualizing data analyses and presenting analytical findings to a variety of technical and non-technical audiences
• Experience acting as a lead of analytics/modeling staff
• Experience managing the relationship with a client company or with other internal groups


• Master's Degree in Statistics, Mathematics, Economics, Computer Science or related field, or the equivalent combination of training, education, and experience
• Experience working in or consulting for financial institutions in a modeling or analytical context

Hours: Monday - Friday, 8:00am - 4:30pm

Location: 820 Follin Lane SE, Vienna, VA 22180

Equal Employment Opportunity

Navy Federal values, celebrates, and enacts diversity in the workplace.  Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans.  EOE/AA/M/F/Veteran/Disability


Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need.

Bank Secrecy Act

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.