• Acquired in-depth knowledge of commercial and retail payment products; developed strong expertise in first and third-party fraud detection and analytics; experienced in analyzing retail banking transactional data• Proficient in executing data cleaning steps such as assessing data quality, backfilling data, imputing missing data using the ‘case when’ query, and eliminating duplicate data; skilled in creating complex features using SQL joins and various data manipulation techniques• Conducted features screening through univariate analysis and developed effective rules to counter prevalent fraud trends such as Taxi Scams and Worthless Deposits in multiple locations• Utilized key metrics such as value detection rate and false positive rate to evaluate rule performance; ensured rule robustness through Out-of-time testing

• Evaluated the quality and accuracy of various data sources, identifying and proposing solutions for data anomalies• Segmented data into training and testing sets employing stratified random sampling techniques• Conducted in-depth analysis of data attributes to pinpoint potential risk drivers, such as predictors of default, using industry expertise(4M Analysis) and professional judgment• Applied the Weight of Evidence transformation to assess the predictive power of continuous and categorical variables• Assessed model appropriateness and performance using in-sample and out-of-sample testing results, along with subgroup analysis

Involved in an IPO case