Mission Lane is a purpose-driven financial technology company dedicated to helping individuals build healthier financial futures through responsible credit solutions. The Principal Business Analyst, Fraud is responsible for developing and optimizing fraud prevention strategies that protect both customers and the organization while maintaining an exceptional customer experience.

Responsibilities:

Design, develop, and implement fraud prevention strategies for application fraud and customer onboarding
Continuously evaluate fraud controls to improve detection accuracy and reduce financial losses
Balance fraud mitigation efforts with a seamless customer experience
Identify vulnerabilities within application and risk processes and recommend strategic improvements
Support the ongoing enhancement of enterprise fraud defense capabilities
Analyze large datasets to identify emerging fraud trends, patterns, and suspicious activities
Investigate fraud incidents to determine root causes and recommend preventive measures
Evaluate fraud losses, risk indicators, and operational performance
Develop actionable insights that improve fraud detection and operational effectiveness
Monitor changing fraud techniques and recommend proactive countermeasures
Utilize SQL, Python, and analytical tools to extract, analyze, and interpret business data
Develop dashboards, reports, and performance metrics for fraud monitoring
Track key performance indicators including fraud coverage, loss rates, defense effectiveness, approval rates, and operational performance
Ensure data accuracy and integrity across analytical reports
Present analytical findings to business stakeholders and executive leadership
Design and execute A/B testing, Champion/Challenger testing, and other analytical experiments
Measure the effectiveness of fraud prevention strategies through data-driven evaluation
Optimize fraud rules and decision models based on analytical findings
Recommend improvements that increase operational efficiency while minimizing customer friction
Support continuous enhancement of fraud decisioning processes
Partner with Operations, Product, Data Science, Engineering, and Risk teams to develop fraud solutions
Collaborate on new product initiatives and customer experience improvements
Translate complex analytical findings into practical business recommendations
Support enterprise projects focused on fraud prevention and operational excellence
Build strong working relationships across multiple business functions
Identify opportunities to improve fraud operations, workflows, and decision-making processes
Analyze business requirements and recommend technology-driven solutions
Develop business cases supporting new fraud initiatives
Support implementation of process improvements and operational enhancements
Promote best practices for fraud analytics and business intelligence
Prepare executive-level reports and performance dashboards
Monitor fraud strategy performance against organizational objectives
Present findings, recommendations, and performance updates to stakeholders
Ensure timely reporting of fraud metrics and business outcomes
Support leadership with data-driven strategic planning

Requirements:

Bachelor's or Master's degree in Economics, Finance, Engineering, Mathematics, Statistics, Data Analytics, or a related quantitative field
Three or more years of experience in business analytics, risk management, fraud analytics, data science, or a similar analytical role
Experience analyzing credit card, consumer lending, or financial services data
Hands-on experience designing and executing A/B testing or Champion/Challenger testing methodologies
Strong analytical, quantitative, and problem-solving abilities
Experience using SQL, Python, or other data analysis tools
Excellent written, verbal, and presentation communication skills
Proven ability to independently solve complex business problems from analysis through implementation
Direct experience in fraud strategy, fraud analytics, or financial crime prevention
Advanced proficiency with SQL and Python
Experience working within fintech, banking, consumer lending, or financial services
Experience supporting high-growth or startup environments
Knowledge of fraud detection models, risk management frameworks, and customer lifecycle analytics
Experience developing executive dashboards and business intelligence reporting

Business Analyst

About this role