Position Description 

We’re looking for someone to play an analytical support role and get involved in the data-driven decision making process, in order to enhance integration of risk assessment. This position requires a person who has experience with performing analytics and developing predictive algorithms in risk domain.

 

Responsibilities

  • Perform rigorous analysis on the pattern of payment history and generate most predictive characteristics for modelling and fraud detection
  • Diagnose possible frauds by utilizing data mining skills and continuously investigate and upgrade anti-fraud practices
  • Identify best algorithm to employ (sampling, segmentation, etc.) and work with modelling team to build predictive and decision models for risk assessment
  • Establish risk and fraud monitoring reports with effective risk predictors for early-alert and early-action plans
  • Provide data-driven insights into credit limit assignment and pricing strategies
  • Built effective visualization to communicate complex concepts and findings from models and tests

 

Skill Required

  • Minimum 2 years of experience in risk analytics or data analysis
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
  • Experience using statistics and working with large datasets to solve complex business problems
  • Desirable to have experience and aptitude solving problems related to risk using data science and analytics
  • Ability to clearly communicate complex results to technical experts, business partners, and executives
  • Proficiency in SQL is preferred

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