Top Tech Jobs & Startup Jobs in Singapore

Structure, approve and manage credit facilities for HNW/UHNW clients with FX and equity OTC/ETD trading. Assess derivatives-related credit risk, monitor exposures, collateral and margining, manage margin shortfalls and limit excesses. Advise stakeholders, support transaction execution, and contribute to risk methodology, automation and margin/collateral projects.

As an Associate Relationship Manager, you will build client relationships, provide investment advice, ensure satisfaction, and participate in marketing initiatives. The role requires strong relationship management and advisory skills.

The Credit Development Officer manages stakeholder relationships, aligns credit offerings with strategies, conducts training, and ensures compliance with risk management standards.

Lead complex legacy system defect resolution and software development using Java and enterprise technologies in Wealth Management. Manage stakeholder communication, ensure compliance, and promote technical best practices.

The role involves resolving complex legacy system defects, delivering Java solutions, influencing engineering practices, and facilitating stakeholder management in a financial context.

The Front KYC Advisory Team Head will lead KYC processes, enhance regulatory compliance, and manage a high-performing team, driving operational excellence in client due diligence.

The Periodic Review Compliance Officer will oversee client risk assessments, ensure KYC compliance, and manage relationships with internal and external stakeholders while supporting compliance with AML regulations.

The Credit Officer will manage credit risk for complex trading clients, structure transactions, prepare credit requests, and support credit methodology projects.

The Java Backend Developer will design, develop, and maintain backend services and APIs, ensuring high performance, security, and scalability in financial applications. They will collaborate with teams, troubleshoot issues, and uphold code quality standards.

Design, build, deploy, and optimize ML and AI solutions—including LLMs, RAG, multi-agent systems and function-calling—evaluate performance, test prompts, integrate models into production, and collaborate with cross-functional teams in a DevOps environment.