Principal Business Analyst, Fraud
About the role
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 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 Principal Business Analyst, Fraud.
Responsibilities
- Analyze and investigate fraud trends by diving 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 by designing, building, and implementing new, real-time defenses to detect and prevent fraudulent applications. Continuously test and refine these strategies to stay ahead of fraudsters.
- Balance risk with customer experience by making thoughtful, data-backed decisions that strike the optimal balance between risk prevention and customer experience.
- Monitor and report on performance by creating and maintaining 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 by working 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).
- 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.
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: Quickly pivot your focus to address high-priority issues.
- Analytical Curiosity: Have a genuine desire to dig into data, question assumptions, and seek the root cause of problems.
- Ownership Mentality: Take personal responsibility for the success of your work.
- Bias for Action: Eager to experiment and view challenges as opportunities for growth.
Pay & Benefits
Currency: USD
Annual full-time base salary range: $118,000-$135,000
Additional compensation in the form(s) of participation in our annual incentive program and equity are offered for this role.
Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role.
Mission Lane also offers a comprehensive benefits plan, which includes:
- Unlimited paid time off
- 401(k) match
- Monthly wellness stipend
- Health/ dental/ vision insurance options
- Disability coverage
- Paid parental leave
- Flexible spending account (for childcare and healthcare)
- Life insurance
- Remote-friendly work environment.