Senior Business Analyst, Fraud

Mission Lane

Remote
Base: $95,000 - $110,000; bonus/equity: pyrticipyt...
Remote
Analyze fraud trends
Develop fraud strategies
Monitor fraud performance
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

Job Summary

  • 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.
  • Mission Lane offers a comprehensive benefits plan, which includes unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.

Matching Summary

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.

Salary

Base: $95,000 - $110,000; Bonus/Equity: Participation in annual incentive program and equity; Benefits: Comprehensive benefits plan including unlimited PTO, 401(k) match, wellness stipend, health insurance, disability, parental leave, FSA, life insurance

Skills & Requirements

Must-have

  • Analyze fraud trends
  • Develop fraud strategies
  • Monitor fraud performance
  • Consumer credit or lending industry experience
  • Data analysis tools familiarity

Nice-to-have

  • Adaptability and agility
  • Analytical curiosity
  • Ownership mentality
  • Bias for action

Key Requirements

  • 1+ years of experience in a highly analytical role
  • Experience with credit cards or consumer lending
  • Proven problem-solving ability
  • Familiarity with SQL, Python, or other data analysis tools
  • Bachelor’s or Master’s degree in a quantitative field

Work Rights

Not specified

Tailored Resume

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