This role is a Manager - Financial Crime Analytics (Data Engineering) within the Financial Crime Analytics team in WRB, responsible for using advance analytics, ML and AI for identification and prevention of bad actors, developing ETL processes, ensuring data quality, and collaborating with stakeholders.
Requirements
- Bachelor's degree in computer science, information systems, engineering or data science
- Minimum 3 years of experience in a relevant field
- Proficiency in Python, SQL and knowledge of database systems
- Experience in warehousing, ELT/ETL processes
- Familiarity with cloud platforms like AWS, Azure, GCP
- Understanding of analytical and statistical methods
- Understanding of ETL pipelines
- Understanding of Financial Crime Risk
- Strong collaboration and communication with stakeholders and cross-functional teams.
- Problem solving and Analytical Thinking
Benefits
- Core bank funding for retirement savings
- Medical and life insurance
- Flexible and voluntary benefits
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options
- Proactive wellbeing support through Unmind
- Continuous learning culture to support growth