Machine Learning / LLM Engineer

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

. Model Development & Deployment

. Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

. Implement explainability and interpretability layers to meet regulatory expectations.

. Compliance & Risk Applications

. Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

. Automate compliance document processing, regulatory reporting, and policy interpretation.

. Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

. Systems Integration

. Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

. Ensure robustness, scalability, and security of deployed models in production environments.

. Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

. Research & Innovation

. Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

. Prototype tools for proactive risk detection and regulatory change monitoring.

. Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you!

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role!