Senior Solution Architect - Risk & Compliance

OCBC (Singapore); Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive base salary

Holistic, flexible benefits

Community initiatives

Job summary

OCBC invites you to shape the bank of the future as a Solution Architect for Risk & Compliance. You will lead end-to-end design for risk, AML/KYC and sanctions, building scalable architectures that are secure, auditable, and aligned with Basel II/III, IFRS9, MAS TRM and FATF standards.

You will collaborate with trading, risk, operations, and finance stakeholders, guiding engineers, data scientists, and platform teams to ensure best practices in data quality, observability, resiliency, and

Qualifications

• 7–10 years in enterprise/solutions architecture with cloud-native tech.
• Deep knowledge of risk and compliance domains (e.g., AML/KYC, Fraud, Sanctions).
• Ability to design scalable, auditable, explainable architectures meeting regulatory expectations.

Responsibilities

• Lead end-to-end solution and architecture design for Risk and Compliance domains.
• Build scalable, secure platforms that meet Basel, IFRS9, MAS TRM, FATF requirements.
• Collaborate with engineers, data scientists and platform teams to ensure design adherence.
• Align solution designs with enterprise roadmaps and governance processes.
• Provide hands-on engagement with delivery teams and business stakeholders.

Skills

Strong communicator

End-to-end architecture

Regulatory domain knowledge

Cloud-native architectures

Stakeholder collaboration

Tools

Kubernetes

Kafka/MQ

Redis

PostgreSQL

MongoDB

Oracle

Job description

OCBC invites you to shape the bank of the future as a Solution Architect for Risk & Compliance. You will lead end-to-end design for risk, AML/KYC and sanctions, building scalable architectures that are secure, auditable, and aligned with Basel II/III, IFRS9, MAS TRM and FATF standards.

You will collaborate with trading, risk, operations, and finance stakeholders, guiding engineers, data scientists, and platform teams to ensure best practices in data quality, observability, resiliency, and