- Assist in developing and deploying fraud detection rules in FZ, including features, rule development, evaluation, deployment, and documentation preparations
- Prepare data for fraud strategy development and system testing
- Design and prepare test cases for system, strategy, and process testing
- Work together with team members to develop programs to automate the process and implement the strategies
- Develop the dashboard to report data quality checks and monitor the strategies' performance
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or related discipline.
- Minimum 2 years' working experience in analytics and machine learning model development or risk scorecard development.
- Experience in mining massive volumes of data for quick insight discovery.
- Hands-on experience in Programming languages, such as PySpark, Python, BigQuery SQL, and SAS.
- Knowledge in Platform or Tool: GCP, BigQuery, Looker Studio.
- Having fraud knowledge is a plus