Mission LaneRemote
Senior Business Analyst, Fraud
United States of America
Full-time
2 weeks ago
$95,000 - $110,000 USD
No H1B
Key skills
Fraud StrategyData AnalysisSQLPythonConsumer Lending ExperienceAnalytical Role ExperienceAnalytical CuriosityBias for ActionAdaptabilityOwnership MentalityAnalytics
About this role
Mission Lane is a purpose-driven fintech company based in the U.S., focused on empowering individuals to achieve financial success. They are seeking a Senior Business Analyst, Fraud, who will analyze fraud trends, develop strategies to prevent fraudulent activities, and collaborate with various teams to enhance fraud detection capabilities.
Responsibilities:
- Analyze and Investigate Fraud Trends: Dive deep into transaction 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 activity. 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, false positive rates, recovery 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:
- 1+ 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
- 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