Fraud Prevention Specialist

at Coinbase
📍 Brazil
BRL 331,300 per year
MIDDLE
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

MySQL @ 3 Python @ 3 SQL @ 3 R @ 3 Machine Learning @ 3 Data Science @ 3 Leadership @ 3 Communication @ 3 Data Analysis @ 3 Fraud @ 3 Reporting @ 3 E-commerce @ 3

Details

At Coinbase, our mission is to increase economic freedom in the world by building the emerging onchain platform and the future global financial system.

Responsibilities

  • Own risk controls from end-to-end and scale processes to provide appropriate coverage as business expands
  • Collaborate with internal and external stakeholders in Product, Growth, Data Science, and Engineering to develop custom risk management strategies for different geographies
  • Use data to assess risk and make decisions impacting large customer segments; measure tradeoffs with quantitative analysis
  • Identify, investigate, and mitigate fraudulent deposit activity
  • Implement logic targeting bad actors and high-risk behaviors related to unauthorized deposits across multiple regions
  • Review and respond to alerts regarding anomalous customer and transaction behavior
  • Measure fraud performance across payment methods
  • Proactively identify and close gaps in monitoring
  • Own reporting processes and communication with banking partners, senior leadership, and regulators
  • Synthesize data insights into compelling stories for Payments Risk leadership

Requirements

  • 4+ years relevant experience
  • 2+ years fighting payment fraud in e-commerce or financial services
  • 2+ years experience in data analysis and database querying (e.g., SQL, MySQL)
  • BA/BS degree or equivalent practical experience
  • Passion for fighting fraud and curiosity to drive investigations and identify patterns
  • Able to independently create plans for analytics projects and build collaboration within the team
  • Experience working with multiple stakeholders
  • Strong communication, positive energy, continuous learning, and efficient execution

Nice to Haves

  • Understanding of statistical concepts and experience applying them
  • Experience with quantitative tools such as Python or R
  • Experience working with machine learning models
  • Understanding of blockchain analytics and/or cryptocurrency fraud trends

Benefits

  • Private Medical Insurance
  • Private Dental Insurance
  • Group Life Insurance
  • Childcare Reimbursement
  • Wellness Stipend
  • Mobile/Internet Reimbursement
  • Connections Stipend
  • Meal Vouchers
  • Learning and Development Allowance
  • Employee Assistance Program
  • Global Travel Medical Policy
  • Fertility Benefits
  • Generous Time off/Leave Policy