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Principal Business Analyst, Fraud (Remote)

torentify • United State
Remote
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AI Summary

Protect customers and business from fraud by analyzing trends, designing strategies, and collaborating cross-functionally. Remote role in the US.

Key Highlights
Develop and optimize fraud prevention strategies
Analyze fraud trends and evaluate performance metrics
Collaborate with cross-functional teams to enhance fraud detection
Key Responsibilities
Analyze application data to identify emerging fraud trends and system vulnerabilities
Design, implement, and optimize fraud prevention strategies across customer application processes
Evaluate fraud risks and recommend data-driven solutions to minimize financial losses
Monitor fraud patterns and adjust strategies based on evolving threats
Develop dashboards and performance reports to monitor fraud prevention initiatives
Present findings and recommendations to leadership and key stakeholders
Design and execute A/B testing and Champion/Challenger experiments to evaluate fraud strategies
Collaborate with cross-functional teams to improve fraud detection capabilities
Technical Skills Required
Data Analysis SQL Python
Benefits & Perks
Fully remote work environment
Competitive compensation with annual incentive opportunities
Equity participation program
Nice to Have
Direct experience in Fraud Strategy and Fraud Analytics
Advanced expertise in SQL and Python
Experience working within fintech, banking, or consumer lending organizations

Job Description


About the Company

Mission Lane is a purpose-driven fintech company dedicated to helping millions of people achieve financial success through responsible credit solutions. By combining advanced technology, data-driven decision-making, and exceptional customer service, the company delivers innovative financial products while maintaining a strong commitment to customer protection, operational excellence, and continuous innovation.

About the Role

The Principal Business Analyst, Fraud is responsible for developing and optimizing fraud prevention strategies that protect both customers and the business. This role analyzes fraud trends, designs risk mitigation strategies, evaluates performance metrics, and collaborates with cross-functional teams to enhance fraud detection capabilities while maintaining an exceptional customer experience.

Location: Remote (United States)

Key Responsibilities

Fraud Strategy & Risk Analytics

  • Analyze application data to identify emerging fraud trends and potential system vulnerabilities.
  • Design, implement, and optimize fraud prevention strategies across customer application processes.
  • Evaluate fraud risks and recommend data-driven solutions to minimize financial losses.
  • Continuously monitor fraud patterns and adjust strategies based on evolving threats.

Data Analysis & Reporting

  • Develop dashboards and performance reports to monitor fraud prevention initiatives.
  • Analyze key performance indicators, including fraud detection rates, losses, customer verification, and strategy effectiveness.
  • Build analytical models to support fraud investigations and business decision-making.
  • Present findings and recommendations to leadership and key stakeholders.

Testing & Optimization

  • Design and execute A/B testing and Champion/Challenger experiments to evaluate fraud strategies.
  • Assess test results and implement improvements based on performance data.
  • Balance fraud prevention efforts with customer experience objectives.
  • Support continuous optimization of fraud detection models and operational workflows.

Cross-Functional Collaboration

  • Partner with Operations, Product, Data Science, Engineering, and Risk teams to improve fraud detection capabilities.
  • Collaborate on the development of scalable fraud prevention solutions.
  • Support strategic initiatives that enhance operational efficiency and customer protection.
  • Communicate analytical insights clearly to technical and non-technical stakeholders.

Qualifications

Required

  • Bachelor's or Master's degree in Economics, Finance, Engineering, Mathematics, or another quantitative field.
  • Minimum of 3 years of experience in business analytics, risk management, data analytics, or a related analytical role.
  • Experience analyzing credit card, consumer lending, or financial services data.
  • Hands-on experience designing and evaluating A/B testing or Champion/Challenger strategies.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Proficiency with SQL, Python, or similar data analysis tools.
  • Excellent communication and stakeholder management abilities.

Preferred

  • Direct experience in Fraud Strategy and Fraud Analytics.
  • Advanced expertise in SQL and Python.
  • Experience working within fintech, banking, or consumer lending organizations.
  • Experience supporting high-growth or startup environments.
  • Knowledge of fraud detection methodologies and risk management best practices.

Benefits

  • Fully remote work environment.
  • Competitive compensation with annual incentive opportunities.
  • Equity participation program.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement plan with company matching.
  • Unlimited paid time off.
  • Paid parental leave.
  • Monthly wellness stipend.
  • Flexible spending accounts.
  • Life and disability insurance.
  • Professional development and career growth opportunities.

Ideal Candidate

This opportunity is ideal for professionals who:

  • Have a passion for fraud prevention and data-driven decision-making.
  • Enjoy solving complex analytical challenges.
  • Thrive in collaborative, fast-paced environments.
  • Take ownership of projects and continuously seek process improvements.
  • Want to make a meaningful impact within an innovative fintech organization.

Equal Opportunity Employer

Mission Lane is committed to fostering an inclusive workplace where every employee is treated with dignity and respect. The company provides equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law.


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