Mission LaneRemote
Principal Business Analyst, Fraud
United States of America
Full Time
3 hours ago
$118,000 - $135,000 USD
No H1B
Key skills
Fraud Strategy and AnalyticsCredit Card AnalyticsConsumer Lending AnalyticsA/B TestingChampion/Challenger TestingSQLPythonData AnalysisAnalytical CuriosityAnalytics
About this role
Mission Lane is a purpose-driven fintech company focused on empowering individuals to achieve financial success. They are seeking a data-driven Principal Business Analyst, Fraud to analyze fraud trends, develop strategies to prevent fraud, and collaborate with various teams to enhance fraud detection capabilities.
Responsibilities:
- Analyze and Investigate Fraud Trends: Dive deep into application data to proactively identify emerging fraud patterns, uncover system vulnerabilities, and understand the evolving tactics used by criminals
- Develop and Fine Tune Fraud Strategies: Design, build, and implement new, real-time defenses to detect and prevent fraudulent applications. You will constantly test and refine our strategies to stay ahead of fraudsters
- Balance Risk with Customer Experience: Make thoughtful, data-backed decisions that strike the optimal balance between risk prevention and customer experience
- Monitor and Report on Performance: Create and maintain robust dashboards to track the performance of fraud strategies. You’ll be responsible for reporting on key metrics like coverage, pause rates, step-up completion rates, defense performance, and losses
- Optimize and Collaborate: Work closely with our Operations, Product, Data Science, and Engineering teams to continuously improve fraud detection capabilities and strategies
Requirements:
- 3+ years of experience in a highly analytical role (e.g., risk, business analytics, data science)
- Experience conducting analytical work with credit cards or other consumer lending products
- Hands-on experience designing and executing A/B or Champion/Challenger testing within application or risk funnels
- Proven ability to problem solve end-to-end: from framing the question and forming a hypothesis, to analyzing the data, to communicating and debating the answer with stakeholders
- Familiarity with SQL, Python, or other tools for data analysis
- Bachelor's or Master's degree in Economics, Finance, Engineering, Mathematics, or a similar quantitative field with a record of strong academic performance
- Direct experience in Fraud Strategy and Analytics
- Expertise in SQL and Python
- Experience helping scale a business in a fast-paced startup environment