Analytics Tech Lead

About Bluevine

Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.

As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we’re just getting started.

All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us!

About the Role:

• Be part of our growing risk fraud analytics and automation group and help build fraud prevention mechanisms in a new domain.
• Full responsibility for the process and guidance of designing and implementing scalable and efficient end-to-end automated decision processes to mitigate fraud and compliance risk.
• Lead and guide the team on code standards, testing, and automation flows using Python.
• Translating business and analytics requirements into specifications for the engineering teams.
• 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 to detect high-risk payments and identify fraud patterns.
• Presenting findings and building methods to both technical and non-technical managers and teams in Bluevine.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  
  

• 3+ years of hands-on experience programming in Python in a production setting.
• 1+ years of experience in data analytics using SQL or Pandas.
• 5+ years of experience in a tech/analytics environment.
• Committed to high coding standards: testing, readability, standardization, modularity, etc.
• Thorough understanding of Git/GitHub
• Able to focus and deep-dive on parts of a pipeline but also to view and understand the bigger picture
• Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
• Ability to quickly and independently learn new technologies and frameworks.
• Bachelor’s Degree or above in a quantitative field (i.e Computer science, Statistics, Engineering, Economics, etc.).
• Excellent spoken and written English.
  
  

• Experience with AWS AI ecosystem (e.g. SageMaker), Airflow and container technology (e.g. Docker, K8S).
• Developing rule-based automation.
• Background in Statistics.
• Experience in SQL.
• Project management experience.
• Experience in the payments\fraud domain.
• Familiarity with the financial market.
  
  

• 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