The Bank’s Global Banking business provides a broad spectrum of financing solutions to large corporations and financial institutions. As a strategic financial partner to corporate customers, The Bank offers a comprehensive range of products and services including bilateral and syndication loans, project financing, property development financing, property investment loans, working capital financing, trade financing, cash management and treasury products.
- need some hands on fraud prediction model development experience*
- good to have specific payment fraud risk management experience*
Requirements
- University degree in in Statistics, Mathematics, Computer Science, Data Science or other related discipline;
- Minimum 3+ years' working experience in analytics and machine learning model development or risk scorecard development;
- Extensive experience and skill in mining massive volume of data for quick insight discovery;
- Proven experience in Programming Language: such as PySpark, Python, BigQuery SQL, SAS;
- Knowledge in Platform or Tool: GCP, BigQuery, Looker Studio;
- Effective communication, interpersonal, organizational, problem solving, presentation skill and business acumen;
- Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery;
- Having fraud knowledge is a plus;
- Having CAN DO behavior
If you are interested in this role, click “Apply”