Fraud Prevention Analyst II

USD 131,300-154,500 per year
MIDDLE
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

MySQL @ 3 Python @ 5 SQL @ 3 A/B Testing @ 3 Looker @ 3 Tableau @ 3 Machine Learning @ 3 Data Analysis @ 3 PayPal @ 3 Fraud @ 3 E-commerce @ 3

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity demanding the best of us every day as we build the emerging onchain platform—and with it, the future global financial system.

We seek a passionate candidate who believes in the power of crypto and blockchain technology to update the financial system, who is eager to leave their mark on the world, thrives under pressure, and actively seeks feedback to improve.

Our work culture is intense and high-performing. If you want to build the future alongside others who excel and expect the same, Coinbase is the place to be.

Responsibilities

  • Monitor and report on core chargeback, fraud, and abuse metrics.
  • Perform routine audits of monitoring to ensure consistent data quality and coverage.
  • Conduct deep analyses of fraud events and provide actionable recommendations for remediation.
  • Develop online and offline rules to target transient fraud rings.
  • Leverage data to identify product gaps and opportunities for proactive fraud management.
  • Independently assess, prioritize, and deliver projects impacting core business workstreams.
  • Work with internal and external stakeholders to drive initiatives and facilitate growth.
  • Collaborate with the Card, Mobile, and PayPal Analytics team to deliver end-to-end card and digital wallet fraud strategy.

Requirements

  • 4+ years fraud prevention experience on an analytics team.
  • 2+ years fighting fraud in e-commerce or financial services.
  • 2+ years experience in data analysis working with complex databases and querying (e.g., SQL, MySQL).
  • Experience with statistical modeling, machine learning, A/B testing, causal inference.
  • Proficiency in at least one programming language (preferably Python).
  • Experience using business intelligence tools (e.g., Looker, Tableau, Superset) to create visualizations and drive change.
  • Passion for fraud investigations and understanding of common fraud patterns.
  • Curiosity to seek anomalies and solve core problems.
  • Broad understanding of card payments, chargeback lifecycles, Visa rules, and card fraud vectors.
  • Experience with PayPal disputes and Purchase Protection.
  • Ability to prioritize and decide quickly under tight deadlines.

Nice to Haves

  • Understanding of blockchain analytics and fraud trends in cryptocurrency.
  • 1+ years experience in risk analytics in rapid-growth environments.

Benefits

  • Medical, dental, and vision insurance with generous employee contributions.
  • Health Savings Account with company contributions each pay period.
  • Disability and life insurance.
  • 401(k) plan with company match.
  • Wellness stipend.
  • Mobile/internet reimbursement.
  • Connections stipend.
  • Volunteer time off.
  • Fertility counseling and benefits.
  • Generous time off/leave policy.
  • Option to get paid in digital currency.