GRIT - Regulatory Reporting & AI Analyst Trainee

DEUTSCHE BANK AKTIENGESELLSCHAFT; Singapore; On-site; SGD 24,000 - 34,000; Full time

Job summary

DEUTSCHE BANK AKTIENGESELLSCHAFT in Singapore seeks a full-time trainee with no prior work experience to explore AI/Copilot-driven process improvements in Finance. You will map workflows, design prompts, and develop prototypes while learning to validate outputs and document findings.

You will join a structured program emphasizing data analysis with Excel and Copilot, stakeholder communication, and knowledge transfer to enable a successful handover.

Qualifications

• Graduates from 2024/2025/2026 from Universities, Polytechnics, Institutes of Technical Education or other educational institutions.
• National Service completed in 2024/2025/2026.
• No prior work experience and must be ready to commit to a full-time traineeship.
• Familiarity with AI/Copilot and applying it in finance is expected.
• Experience with data analysis using Excel and Copilot is advantageous.
• Ability to document processes, test outputs and track improvements.
• Strong communication, presentation and knowledge-transfer skills.

Responsibilities

• Map regulatory reporting workflows, inputs, controls, outputs and dependencies.
• Identify manual tasks suitable for AI/Copilot and document baseline effort and risks.
• Support Singapore AI use-case roadmap planning for Finance.
• Develop supervised prototypes: summarising issues, narratives and docs.
• Create reusable prompt templates and user guides using approved tools.
• Validate AI outputs against source data and perform testing.
• Support pilot rollout, collect feedback and document handover.

Skills

Process mapping

Requirements gathering

Problem solving

AI/Copilot usage

Data analysis

Excel & Copilot

Testing & validation

Stakeholder communication

Tools

Copilot

Microsoft Excel

Job description

About the Group:

The Financial, Regulatory and Risk Reporting group within the Finance function, ensures timely and accurate financial, regulatory and risk reporting for the legal entities / process/ utility within their remit, in line with regulatory and statutory requirements, to senior management, regulators, auditors and other relevant stakeholders.

Roles and Responsibilities:

• Mapping selected regulatory reporting workflows, including data inputs, key controls, outputs and dependencies.
• Identifying manual and repetitive activities that may be suitable for AI/Copilot support, and documenting baseline effort, pain points, risks and expected benefits.
• Supporting the preparation and prioritisation of the Singapore Country Finance AI use-case roadmap.
• Developing supervised prototypes for selected use cases, such as summarising reporting issues, preparing management narratives and improving recurring documentation.
• Creating reusable prompt templates, requirements documents, test scripts and user guides using approved tools and information.
• Validating AI-generated outputs against source information, recording limitations, performing structured testing and supporting resolution of identified issues.
• Supporting controlled pilot rollout, user feedback collection, benefits measurement, operating documentation, knowledge transfer and final handover.

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
• Process mapping, requirements gathering and structured problem-solving skills.
• Practical application of AI/Copilot, including effective prompt design, reusable prompt development and use of AI in Finance.
• Data analysis and productivity skills using Microsoft Excel, Copilot and other approved applications.
• Output validation, test execution, defect documentation and user acceptance testing.
• Ability to assess process efficiency and track indicators such as effort saved, turnaround time, output quality, exception rates and user feedback.
• Professional documentation, stakeholder communication, presentation and knowledge-transfer skills.