Manager, Credit Risk & Decision Science (Credit Card Account Management)

Vienna, VA, United States

Navy Federal Credit Union

Navy Federal Credit Union is an armed forces bank serving the Navy, Army, Marine Corps, Air Force, Space Force, Coast Guard, veterans, DoD & their families. Join now!

View all jobs at Navy Federal Credit Union

Apply now Apply later

The Credit Risk Management & Pricing Strategy team within the Lending Analytics department is responsible for developing and implementing analytical solutions that drive changes to underwriting policies across Navy Federal Credit Union’s various lending products. This role will lead a team of data scientists who leverage analytics to define and monitor credit card account management strategies such as proactive line increase and reactive line increase to name a few. This will include developing and recommending test and control strategies to better understand cardholder behavior. Successful candidates will have a proven track record of managing analytical teams, will exhibit effective communication and analytical skills, and will possess strong leadership qualities.

  • Oversee the development of account management models to optimize lending decisions for the credit card product.
  • Recommend and implement test and learn experiments to enable the development of improved credit card account management strategies.
  • Lead the development, implementation, and reporting out of strategy and model monitoring across all credit card account management strategies.
  • Leverage account management models to develop strategies that align with credit card portfolio objectives.
  • Maintain in-depth knowledge of credit bureau data, tools and initiatives as well as newer advancements in machine learning and AI, industry trends, and analytical tools used by other leading financial organizations, and how they may be leveraged to improve Lending's credit decisions.
  • Maintain thorough knowledge of and ensure compliance with applicable federal and state laws, rules, regulations and Navy Federal policies and procedures.
  • Ensure account management models and credit policies minimize the Fair Lending risk and are compliant.
  • Engage and collaborate with second line functions such as Model Risk Management and Enterprise Credit Risk Management as part of model redevelopment and strategy redevelopment efforts.
  • Participate in organization-wide project teams; monitor projects assigned to the department and ensure milestones are completed on schedule.
  • Assist with developing and implementing new/updated policies, procedures, goals and priorities as necessitated by demands, changing conditions, and/or management request.
  • Maintain understanding of business direction, environment and strategies and work closely with stakeholders to ensure analytic output addresses business needs.
  • Manage, mentor, and develop analytical talent.
  • Continuously adjust and align the strategic vision of the team as needed and use it to define yearly project roadmaps.
  • Significant experience in leading and managing an analytics operation in a large financial services organization to include operational and regulatory risks and controls.
  • Advanced knowledge of applicable federal and state, laws, rules and regulations that govern the functions of the Consumer/Credit Card Lending.
  • Significant experience in the use of statistical modeling software and applications.
  • Working knowledge of banking/financial industry trends, products and services.
  • Significant experience demonstrating thought-leadership, initiative-taking, decision-making, and creativity solving business problems.
  • Significant experience managing multiple priorities independently and/or in a team environment to achieve goals.
  • Significant experience working with all levels of staff, management, stakeholders, vendors.
  • Advanced research, data mining/querying, analysis, and reporting skills, including proficiency in sophisticated statistical methods, optimization modeling, forecasting, and cost/benefit/risk analysis.
  • Expert analytical/quantitative and deductive reasoning skills.
  • Advanced skill in results-oriented leadership in a challenging environment.
  • Advanced skill in project management to include establishing and leading project teams; managing timelines/deadlines/resources; ensuring successful project implementation.
  • Advanced skill presenting findings, conclusions, alternatives and information clearly and concisely to technical and non-technical audiences.
  • Advanced organizational, planning and time management skills.
  • Advanced skill interacting with senior and executive management.
  • Advanced skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes.
  • Expert verbal, interpersonal, and written communication skills.
  • Experience developing analytical talent.
  • Master's degree in quantitative fields including Finance, Operations Research, Mathematics, Statistics, Engineering, or related field, or the equivalent combination of education, training and experience.

Desired Qualifications

  • Familiar with analytical models/analysis used to support credit card underwriting and account management underwriting policies.
  • Familiar using GitHub for documentation and code collaboration purposes.
  • Familiar with developing test and control experiments for credit card account management strategies.
  • Familiar with Databricks.
  • Experience using Copilot to create efficiencies within analytical teams.

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

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.

  • Best Companies for Latinos to Work for 2024
  • Computerworld® Best Places to Work in IT
  • Forbes® 2025 America’s Best Large Employers
  • Forbes® 2024 America's Best Employers for New Grads
  • Forbes® 2024 America's Best Employers for Tech Workers
  • Fortune Best Workplaces for Millennials™ 2024   
  • Fortune Best Workplaces for Women ™ 2024
  • Fortune 100 Best Companies to Work For® 2025
  • Military Times 2024 Best for Vets Employers
  • Newsweek Most Loved Workplaces
  • 2024 PEOPLE® Companies That Care
  • RippleMatch Recruiting Choice Award
  • Yello and WayUp Top 100 Internship Programs

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

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.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: Banking Copilot Credit risk Databricks Data Mining Engineering Finance GitHub Machine Learning Mathematics Research Statistical modeling Statistics

Perks/benefits: Career development Competitive pay

Region: North America
Country: United States

More jobs like this