GRIT - Anti-Financial Crime & AI Enablement Analyst Trainee

DEUTSCHE BANK AKTIENGESELLSCHAFT; Singapore; On-site; SGD 31,000 - 40,000; Full time

Job summary

DEUTSCHE BANK AKTIENGESELLSCHAFT in Singapore is seeking fresh graduates for a full-time traineeship. You will support testing of Anti-Financial Crime solutions, assist MI reporting, and contribute to AI adoption initiatives while engaging stakeholders to drive process improvements.

The role emphasizes understanding AI tools, programming basics, and strong communication skills, with a practical focus on onboarding, regulatory compliance, and investigations within a growing AFC function.

Qualifications

• Fresh graduates from 2024/2025/2026 cohorts or those who completed National Service in 2024/2025/2026.
• Willingness to commit to a full-time traineeship.
• Understanding of AI tools and knowledge of programming languages.
• Proficiency in Microsoft Office Word, PowerPoint, Excel.
• Good written and verbal communication skills.

Responsibilities

• Support testing and validation of Anti-Financial Crime solutions across AML, KYC, onboarding, and investigations.
• Assist MI reporting and governance analyses to support business decisions.
• Contribute to AI-enabled process improvement through workflow analysis and testing.
• Support AI adoption and change management including user enablement and documentation.
• Assist knowledge management and AI community engagement across a network of stakeholders.

Job description

About the Group:

Anti Financial Crime group serves to ensure that Deutsche Bank acts with integrity and discipline regarding the legal and regulatory requirements of the AML regime. AFC vision is to ‘Proactively protect our clients, our bank, and our society from financial crime risk ’AFC mission is to ‘Continually enhance an effective, efficient and sustainable financial crime control framework’

Roles and Responsibilities:

• Support testing and validation of Anti-Financial Crime solutions across AML, KYC, client onboarding, regulatory compliance, and investigations, including test execution, defect documentation, and data quality checks.
• Assist in Management Information (MI) reporting and analysis, including the preparation of operational metrics, trend analysis, and governance reporting to support business decision-making.
• Support AI-enabled process improvement initiatives by analyzing workflows, identifying optimization opportunities, and assisting with solution implementation, testing, and deployment activities.
• Contribute to AI adoption and change management activities, including user enablement, stakeholder engagement, adoption tracking, and development of supporting documentation and training materials.
• Support knowledge management and AI community engagement, including maintaining knowledge resources, coordinating forums and communications, and sharing best practices across a network of AI champions and stakeholders.

Key skills required:

• Fresh graduates who have graduated in 2024/2025/2026 from Universities, Polytechnics, Institutes of Technical Education (ITE), or other Educational Institutions (e.g. private universities and overseas institutions); or Graduated earlier from above institutions and completed National Service in 2024/2025/2026.
• No prior work experience and must be ready to commit to a full-time traineeship
• Understanding of AI tools and knowledge of Programming Languages and working knowledge of AI tools and LLM
• Proficiency in Microsoft Office Word, Power-point, Excel Applications
• Good written and verbal communication skills, with the ability to prepare clear documents and presentations.