Senior Risk Data Analyst

About Bluevine

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.

Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 500,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.

At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?

We are seeking a passionate Senior Risk Data Analyst to join our Transaction Risk team and help us build smart, scalable fraud prevention solutions.

What you'll do:

• Be part of an experienced risk team and help build fraud prevention mechanisms into a new domain.
• Lead projects focused on fraud prevention and risk mitigation while understanding Bluevine’s business objectives and enabling the product’s growth
• Conduct in-depth analysis for identifying high risk payments and fraud footprints
• Define and develop end-to-end automatic decisions to mitigate fraud and risk, using internal decision engines
• Present your analysis methods and outputs to both technical and non-technical managers and teams in Bluevine
• Work closely with other Bluevine teams - Data Science, Data Engineering and Risk Operations teams.
  
  

• 4+ years of experience as a Data Analyst.
• SQL proficiency.
• Experience in fraud analysis.
• Proficiency and hands-on experience with Python data wrangling and analysis.
• Team player with excellent communication skills.
• Bachelor’s Degree or above in a quantitative field (i.e, Statistics, Engineering, Economics, Psychology).
• Familiarity with the fraud domain
  
  

• Experience with rule automation
• Background in Statistics
  
  

• Excellent group health coverage and life insurance benefits
• Stock options
• Flexible hybrid work model
• Large Study Fund contribution
• Salary Benchmarks and Checkpoints
• Monthly meal card of TenBis or CiBus (your choice) with generous balance
• Free parking for cars, scooters, and bikes
• Free gym membership
• Company-sponsored Mental Health Benefits
• PTO, Company Holidays, and Flexible Holidays
• Community-based volunteering opportunities