Senior Business Intelligence Analyst (Fraud Detection)

A Senior Business Intel Analyst is a subject matter expert of individual workstream, rule writing, analysis, and data. They will leverage advanced technical skills and deep knowledge of workstream specific systems. This role requires advanced proficiency in querying languages (e.g., SQL, PySpark, Python) and analytical methodologies including trend analysis and root cause analysis of advanced scope and complexity to drive data-informed decision-making. They should demonstrate some leadership capabilities, mentoring junior analysts, delegating tasks effectively, and serving as a representative for the team in cross-functional meetings. They can act on behalf of the incumbent when needed, assist in making strategic decisions, and proactively champion initiatives that propel both the team and POD forward.  Sr BIAs will manage and prioritize their own workload, and lead small to large projects with some supervision, ensuring alignment with organizational goals and delivering impactful results.

This role demands advanced understanding of fraud workstream, including fraud lifecycle, regulatory compliance, and internal policies/procedures. The analyst should have advanced knowledge and understanding of performance metrics, including rules, losses, and KPI frameworks, along with the ability to interpret and communicate insights. 

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

• Fraud Detection & Rule Development:
  • Design, write, and optimize fraud detection rules to identify suspicious patterns and mitigate risk.
  • Continuously monitor rule performance and adjust based on emerging fraud trends and KPIs.
• Data Analysis & Insights:
  • Perform trend analysis and root cause investigations on fraud-related anomalies of increased scope and complexity.
  • Interpret performance metrics (e.g., rules, losses, KPIs) and communicate actionable insights to stakeholders.
• Technical Execution:
  • Utilize advanced querying skills (SQL, Python, R) to extract, manipulate, and analyze large datasets.
  • Apply analytical methodologies to support fraud detection strategies and improve operational efficiency.
• Collaboration & Leadership:
  • Partner with cross-functional teams to align fraud detection initiatives with organizational goals.
  • Mentor junior analysts and contribute to team development through knowledge sharing and best practices.
• Strategic Support:
  • Assist in making data-driven strategic decisions to enhance fraud prevention capabilities.
  • Proactively support initiatives that strengthen fraud detection frameworks and advance POD objectives.

• 5-7 years of experience in data analysis and reporting.
• Advanced proficiency in SQL with understanding of how to use inner, left, outer join, CTEs, Lag functions, and date diff function.
• Advanced proficiency with Python, R, JMP and Data Bricks.
• Advanced skill using statistical methods, mathematical techniques, forecasting, and cross validation models.
• Experience writing AMDL in ARIC.
• Working knowledge of TMX.
• Understanding of the Account Takeover Fraud Landscape.
• Strong understanding of fraud lifecycle, regulatory compliance, and internal fraud policies.
• Experience with rule writing and performance monitoring in fraud detection systems.
• Advanced skill in complex data manipulation across multiple tables.
• Effective problem-solving, organizational, and communication skills.
• Ability to manage small to large projects with minimal supervision.
• Skill communicating data analysis and visualizations to nontechnical and senior audiences.
• Master's Degree in Business Administration, Statistics, Data Analytics, information Security or related field.

Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526