Job Description:
- 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
Requirements:
- 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
