System Analyst - AI Integration

About the Company

Optimum Solutions is anenterprise Digital & IT solutions and services company that engineersdigital transformation for enterprises characterized by agility, efficiency andinnovation. 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 in atleast one of the following - Risk and Compliance or KYC or AML or Fraud or wealth management or global markets. 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.

Key Responsibilities

. Gather, analyse, and document business and system requirements across 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.

. 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, andcompliance 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 or wealth / global markets.

. Experience working on enterprise banking systems and regulatory-driven projects.

. Good understanding of AI/ML concepts and howthey 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.