
Senior Software Engineer, Regulatory Reporting
Airwallex
full-time
Posted on:
Location Type: Hybrid
Location: Singapore • Singapore
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Job Level
Tech Stack
About the role
- Design, build, and maintain cutting-edge risk monitoring systems that proactively detect and mitigate client-level risks using AI (ML, LLMs, agent frameworks) and advanced data analytics.
- Develop automated name screening, sanction checking, and anti-money laundering solutions powered by LLM agents, aligned with operational team workflows.
- Build seamless client management systems that unify internal and external data into a single source of truth for risk intelligence and decisioning.
- Establish robust agent evaluation methodologies and pipelines to objectively measure and demonstrate the effectiveness of AI-driven automation solutions.
- Construct and support scalable, highly available, and low-latency distributed systems on public cloud infrastructure (e.g., GCP/AWS), ensuring quality, reliability, and strong data governance.
- Build and maintain reliable data pipelines, data quality monitoring, and real-time streaming services.
- Collaborate with global, cross-functional teams—including product, engineering, operations, compliance, and data science—to drive impactful risk solutions and operational excellence.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent practical experience.
- Solid backend engineering skills; experience with Java, Python, or Kotlin (Spring / Spring Boot preferred).
- Experience designing and developing scalable, high-concurrency, high-availability distributed systems, ideally in a cloud environment.
- Strong ability to translate complex business requirements into robust technical solutions, with a focus on risk intelligence and automation.
- Proficiency with modern server technologies, data modeling, and performance optimization.
- Clear orientation towards measurable business and customer outcomes.
- Excellent communication and collaboration skills with cross-functional partners; proactive, pragmatic, and driven.
- Experience in or knowledge of financial crime, risk management, compliance, or fintech domains (preferred).
- Proven experience with LLM agent frameworks, such as building Retrieval-Augmented Generation (RAG) pipelines, langchain, langfuse, or MCP (preferred).
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaPythonKotlinSpringSpring BootAIMLdata analyticsdata modelingperformance optimization
Soft Skills
communicationcollaborationproactivepragmaticdriven