Job Description:

  • Perform rigorous analysis on the pattern of payment history and generate most predictive characteristics for modelling and fraud detection
  • Study business operations and the local market to make determinations about its ongoing competitive outlook on fraud behavior
  • Diagnose possible frauds by utilizing data mining skills and continuously investigate and upgrade anti-fraud practices
  • Built effective visualization to communicate complex fraud concepts and findings from models and tests
  • Establish risk and fraud monitoring reports with effective risk predictors for early-alert and early-action plans
  • Construct reports to monitor key performance indicators, and optimize business policy and process of fraud management

Requirements:

  • Minimum 1 to 3 years of experience in credit risk analysis. More experienced candidates will be considered for lead positions.
  • Excellent analytical thinking and solid experience in data management
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented
  • Strong attention to details and ability to notice discrepancies in data
  • Ability to clearly communicate complex results to technical experts, business partners, and executives
  • Proficiency in SQL is a must
  • Advanced Excel Skills

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