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Risk Analyst (Anti-Fraud) - SeaMoney Credit

Salary undisclosed

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Job Description

  • Design and drive implementation for consumer loan’s anti-fraud strategy including application fraud, transactional fraud and anti-cashout.
  • Setup key indicators to monitor various fraudulent behaviours and regularly summarise and optimise strategies.
  • Conduct data analysis through daily risk exposure & PnL and present findings and recommendations to senior management.
  • Study business operations and the local market to make determinations about its ongoing competitive outlook.
  • Construct reports to monitor key performance indicators, and optimise business policy and process.

Requirements

  • Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/ Banking, Statistics and other related fields
  • 1-4 years’ working experience in analytics related role
  • Skilled in SQL is mandatory and skilled in Python is a plus
  • Familiar with data visualization tools
  • KYC risk management experience is highly preferred
  • Work well with cross-functional teams in a fast-paced environment
  • Experience in finance/ banking industry is a preferred
  • Experience in business intelligence in e-commerce is a plus
Job Description

  • Design and drive implementation for consumer loan’s anti-fraud strategy including application fraud, transactional fraud and anti-cashout.
  • Setup key indicators to monitor various fraudulent behaviours and regularly summarise and optimise strategies.
  • Conduct data analysis through daily risk exposure & PnL and present findings and recommendations to senior management.
  • Study business operations and the local market to make determinations about its ongoing competitive outlook.
  • Construct reports to monitor key performance indicators, and optimise business policy and process.

Requirements

  • Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/ Banking, Statistics and other related fields
  • 1-4 years’ working experience in analytics related role
  • Skilled in SQL is mandatory and skilled in Python is a plus
  • Familiar with data visualization tools
  • KYC risk management experience is highly preferred
  • Work well with cross-functional teams in a fast-paced environment
  • Experience in finance/ banking industry is a preferred
  • Experience in business intelligence in e-commerce is a plus