System Analyst - AI Integration

About the Company

Optimum Solutions is an enterprise Digital & IT solutions and services company that engineers digital transformation for enterprises characterized by agility, efficiency and innovation. Founded in 1997, The Company is headquartered in Singapore with 4000+ talented employees across offices and global delivery centers in 9 countries

About the Role

We are seeking an experienced System Analyst with strong banking domain expertise in Risk, Compliance, KYC, AML, and Fraud. The role will support ongoing digital transformation initiatives and play a key part in integrating AI-enabled capabilities into core banking and compliance systems.

This is not a deep AI engineering role, but the candidate should understand AI/ML concepts well enough to guide solution discussions, assess integration approaches, and work effectively with technical and vendor teams.

Job Location : Singapore (relocation provided)

Key Responsibilities

• Gather, analyse, and document business and system requirements across Risk, Compliance, AML, and KYC domains.
• Translate business needs into clear functional and technical specifications for delivery teams.
• Work closely with stakeholders across compliance, risk, operations, and IT to support system enhancements and regulatory requirements.
• Support integration of AI/ML-enabled solutions into banking platforms (e.g., fraud detection, AML alert prioritisation, risk scoring).
• Collaborate with architects, data teams, and vendors to ensure successful end-to-end solution integration.
• Evaluate AI solution approaches at a high level (data requirements, feasibility, integration impact).
• Support Agile delivery processes including sprint planning, UAT, and production rollout coordination.
• Ensure strong documentation, governance, and compliance across all initiatives.

Skills & Experience Required

• 7–12+ years experience as a System Analyst / Business Analyst in banking or financial services.
• Strong domain knowledge in Risk, Compliance, AML, KYC, Fraud, or Regulatory Reporting.
• Experience working on enterprise banking systems and regulatory-driven projects.
• Good understanding of AI/ML concepts and how they are applied in banking use cases.
• Experience with system integration (APIs, middleware, data flows).
• Strong stakeholder management, requirements gathering, and documentation skills.
• Ability to bridge business, technology, and vendor teams effectively.

Nice to Have

• Exposure to AI use cases in banking (fraud detection, AML optimisation, risk analytics).
• Experience in cloud environments (AWS / Azure / GCP).
• Experience in large-scale transformation or digital banking programs.