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Mission Lane · 1 day ago

Senior Business Analyst, Fraud

United States

Full-time

Remote

Mid, Senior Level

$95K/yr - $110K/yr

1+ years exp

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.

CreditFinanceFinancial Services

No H1B

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

Qualification

Fraud StrategyData AnalysisSQLPythonConsumer Lending ExperienceAnalytical Role ExperienceAnalytical CuriosityBias for ActionAdaptabilityOwnership Mentality

Required

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