Navy Federal Credit Union - Vienna, VA

posted 3 months ago

Full-time - Mid Level
Vienna, VA
Credit Intermediation and Related Activities

About the position

Navy Federal's Fair Lending Analytics team operates as a second line of defense risk function within the Compliance & Public Policy division, focusing on conducting statistical analysis to evaluate business practices for potential fair lending risk across the credit union. The Business Intelligence Analyst role is pivotal in supporting this team by performing both quantitative and qualitative data analysis across various product areas. This position involves reporting patterns, insights, and trends to leadership through the creation of dashboards and reports. The analyst will collaborate closely with various Navy Federal business units to provide oversight and guidance on the fair lending implications of business decisions, ensuring compliance with fair lending laws. The role requires a strong proficiency in various analysis techniques, excellent communication skills, and a keen interest in consumer protection. The analyst will evaluate fair lending risk by conducting statistical and analytical testing, as well as qualitative analysis. They will be responsible for creating data visualizations, dashboards, and executive reporting packages that monitor and explain fair lending risk. Additionally, the analyst will collaborate with partners across first-line business units, Compliance, and General Counsel, providing subject matter expertise to recommend practical solutions to mitigate fair lending risk. The position also entails preparing and presenting clear, thorough reports to business units and executives, explaining the analysis performed, the results, and recommendations for improvement. Staying updated with the latest fair lending guidance from regulatory bodies, such as the CFPB, is crucial for incorporating these insights into Navy Federal's program. The analyst will also participate in team projects and initiatives, utilizing effective written and verbal communication to document and present findings.

Responsibilities

  • Evaluate fair lending risk by conducting statistical and analytical testing as well as qualitative analysis.
  • Create data visualizations, dashboards, and executive reporting packages to monitor and explain fair lending risk.
  • Collaborate with partners across first-line business units, Compliance, and General Counsel.
  • Provide subject matter expertise to recommend practical solutions to mitigate fair lending risk.
  • Prepare and present clear, thorough reports to business units and executives explaining the analysis performed, results of the analysis, and recommendations for improvement.
  • Stay abreast of and incorporate the latest fair lending guidance from the regulatory bodies (e.g., CFPB) into Navy Federal's program.
  • Collaborate with team members and participate in team projects and initiatives.
  • Utilize effective written and verbal communication to document and present findings.

Requirements

  • 2-5 years of experience in data analysis and reporting.
  • Familiarity with federal fair lending laws, such as the Fair Housing Act and Equal Credit Opportunity Act.
  • Experience with programming, data modeling, statistics, and mathematics.
  • Proficiency in data visualization tools such as Tableau and PowerBI.
  • Proficiency in SQL, R, or Python.
  • Excellent communication and presentation skills.
  • Technical writing skills.
  • Data storytelling and technical presentation skills (i.e., ability to explain statistical concepts to audiences of varying levels of technical knowledge).
  • Interpersonal skills to support collaboration and relationship building.
  • Critical thinking and ability to manage multiple competing priorities.
  • Ability to take initiative with sound business judgement.
  • Proactive problem solving skills.
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, or degrees in similar quantitative fields.

Nice-to-haves

  • 2+ years of Fair Lending analytics experience in the financial industry.
  • Master's degree in Data Analytics, Statistics, Mathematics, or Engineering.
  • Familiarity with ArcGIS or mapping tools is a plus.

Benefits

  • Highly competitive pay
  • Generous benefits and perks
  • Hybrid workplace options
  • Career development opportunities
  • Recognition programs for employee contributions
  • Diversity and inclusion initiatives
  • Employee discounts and perks
  • Paid time off and holidays
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