Senior Business Analyst, Fraud

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind?

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind?

We’re looking for a data-driven problem-solver with proven success investigating and identifying patterns, 1+ years experience in a highly analytical role in the consumer credit or lending industry, and solid familiarity with data analysis tools to join our Customer Operations team as a Senior Business Analyst, Fraud.

The Impact You’ll Make

You’ll drive forward our mission of empowering people to unlock financial progress by protecting our customers and our business from financial crime, reducing fraud losses, and improving the experience for our cardholders.

You will be instrumental in building and implementing transaction fraud defense strategies that balance risk and a seamless customer experience. This role is a fantastic opportunity to gain end-to-end knowledge and practical experience in critical, high-impact risk strategies, positioning you as a trusted expert in the rapidly evolving fintech space.

As a Senior Business Analyst, Fraud, you will:

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• Direct experience in Fraud Strategy and Analytics.
• Expertise in SQL and Python.
• Experience helping scale a business in a fast-paced startup environment.

Key Competencies

• Adaptability & Agility: You can quickly pivot your focus to address high-priority issues.
• Analytical Curiosity: You have a genuine desire to dig into data, question assumptions, and seek the root cause of problems.
• Ownership Mentality: You take personal responsibility for the success of your work.
• Bias for Action: You are eager to experiment and view challenges as opportunities for growth.

Compensation

Annual full-time base salary range:  $95,000 – $110,000