• Locations
    • Remote
    • San Francisco
  • Date Posted
  • Aug. 23, 2021
  • Function
  • Finance
  • Sector
  • Fintech

Build the world’s fastest Identity and Checkout products

Company Mission

Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce, we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations.

Summary

The Payments & Risk team at Fast strives daily to build and operate a world-class payment processing platform free of payment failures, void of fraud, and as reliable as clockwork for both buyers and sellers engaged in e-commerce across the Internet. Our team is searching for an experienced Risk Data Analyst to help us achieve our mission. This will be a high-impact role ensuring our buyers and sellers maintain trust in our Checkout solution. If you’re passionate about payments, enjoy leveraging large datasets to make data-driven decisions, and want to stop fraudsters in their tracks, then this role is for you! Come join us as we upgrade the internet by creating a new, frictionless online checkout experience.

Role

  • Leverage data to test and deploy targeted rules designed to prevent known and emerging fraud trends across many product lines for both buyers and sellers on Fast’s platform
  • Evaluate the performance and accuracy of Data Science (DS) models, and work with the DS team to debug and improve model accuracy
  • Regularly review the effectiveness of current rules and make necessary changes to improve accuracy
  • Build KPI Dashboards to establish, track, and measure performance against OKRs and overall fraud trends (loss rates, chargeback rates, false positives, etc.)
  • Develop an evaluation framework(s) to ‘right size’ Seller credit risk on the Fast platform
  • Conduct Seller onboarding risk reviews and support automation efforts
  • Collaborate with Engineering, Sales, and Product to build internal tools supporting Seller and Buyer payment experience
  • Identify opportunities for continuous process optimization through automation methods

Qualifications

  • 2+ years of experience working with data in Risk, Fraud, or Payments related role
  • Bachelor’s Degree with emphasis on CS, Mathematics, Finance, other quantitative field, or equivalent practical experience
  • Demonstrated proficiency with SQL, R and/or Python
  • Familiarity with data analysis, data pipelining, and visualization tools (e.g. Snowflake, Rockset, Looker, Mode)
  • Resourceful and ready to roll up their sleeves - no task or issue is too big or small
  • Naturally curious, idea generator, and problem solver
  • Demonstrates care and empathy towards customers and teammates

Preferred Qualifications

  • MBA, MS or other advanced degree
  • Familiarity with A/B testing and statistical modeling/forecasting
  • Computer Science degree or equivalent tech education (Lambda School, Hack Reactor, etc.)
  • Experience working in a global payment processing or dual-sided marketplace environment
  • Benefits and Perks- Because People Matter
  • Comprehensive insurance (paid 99% by the company) with no deductible, and 10 dollar copays
  • Globally remote with flexible work schedules to fit your needs
  • Generous paid parental/family leave for all caregivers- up to 12 weeks
  • 401k with match up to 4%

Equity grant

  • People-focused PTO that you determine- time off is there when you want it, when you need it
  • Frequent inclusive events scheduled to allow everyone to express their voice (or dance skills)
  • Monthly exercise and internet stipends---and snacks