Risk Management jobs in Singapore

The Risk Platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, PA, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

Our mission is to keep Airwallex's products and services safe and secure, and make Airwallex a trusted partner for businesses around the world. We use cutting‑edge technologies, such as graph, ML, and LLM, to implement and improve our strategy.

We collaborate with other teams and our customers globally to ensure a holistic approach for risk management.

This role is based in Singapore.

As a Staff Engineer on the Risk Platform, you will be a senior technical leader and hands‑on builder. You’ll own critical parts of our real‑time detection platform and client‑facing risk and fraud management products, setting the technical direction and raising the engineering bar while working closely with your manager and cross‑functional partners.

You will:

• Lead the technical direction of core risk services, including real‑time detection, decision engines, and risk tooling, ensuring they are reliable, scalable, and cost‑efficient under high throughput and low‑latency constraints.

• Design and evolve system architecture for distributed, event‑driven risk systems (microservices, streaming pipelines, feature stores, model serving layers) that support global products and regulatory requirements.

• Own end‑to‑end delivery of complex initiatives: from high‑level design and technical specifications, to implementation, rollout strategies, and continuous improvement.

• Be deeply hands‑on in code and design, writing high‑quality production code (primarily in Java/Spring Boot) and driving high‑impact design reviews, RFCs, and architecture discussions.

• Partner closely with the Engineering Manager and Product Manager to shape the roadmap, define technical milestones, and translate business and risk objectives into robust engineering solutions.

• Champion engineering excellence by defining and enforcing standards for code quality, observability, reliability, security, and performance across the Risk Platform stack.

• Improve detection effectiveness by working with data and ML teams to integrate models, rules, and features into production systems, and by designing experimentation and evaluation capabilities.

• Drive operational excellence by improving on‑call readiness, incident response, postmortems, SLIs/SLOs, capacity planning, and resilience patterns (graceful degradation, fallbacks, retries, timeouts, backpressure).

• Mentor and uplevel other engineers, including senior ICs: provide technical coaching, pair programming, design guidance, and feedback that helps them do the best work of their careers.

• Collaborate across teams (platform, data, SRE, security, and other product engineering teams) to define clear interfaces, SLAs, and ownership boundaries for shared services and infrastructure.

• Identify and pay down technical debt deliberately, balancing short‑term impact with long‑term platform health and enabling faster, safer delivery over time.

We’re looking for people who meet the minimum qualifications below. The preferred qualifications are great to have, but not strictly required.

Minimum qualifications

• 10+ years of back‑end engineering experience, including substantial time owning and operating complex, distributed systems in production.

• Deep experience in risk, fraud, or fintech systems (e.g., payments, banking, trading, or similar high‑stakes domains where correctness and reliability are critical).

• Strong proficiency in Java, including multi‑threading, high‑concurrency patterns, performance tuning, and networked service design (I/O/NIO, HTTP/TCP, REST).

• Hands‑on experience with distributed system design, including event‑driven architectures, partitioning/sharding, consistency models, caching strategies, and resiliency patterns.

• Proficiency with Spring / Spring Boot and build tools such as Gradle or Maven.

• Practical experience with containerization and orchestration, particularly Docker and Kubernetes, in production environments.

• Solid understanding of observability and operations: logging, metrics, tracing, dashboards, and incident management for large‑scale systems.

• Ability to lead complex technical initiatives end‑to‑end, influencing engineers and stakeholders without relying on formal management authority.

• Strong communication skills, with the ability to explain complex technical topics clearly to engineers, product managers, and non‑technical stakeholders.

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Preferred Qualifications:

• Experience with risk‑specific components, such as rule engines, feature stores, model serving frameworks, real‑time stream processing, and A/B testing / experimentation platforms.

• Working knowledge of machine learning in production, including model lifecycle, feature engineering, evaluation metrics, and online/offline consistency.

• Experience with modern data and storage technologies, such as Cassandra, Redis, NoSQL databases, Hadoop, and streaming systems like Kafka, Flink, or Spark.

• Polyglot engineering experience with one or more of Kotlin, Scala, Python, or Golang.

• Cloud experience with Alibaba Cloud, AWS, or GCP, including cloud networking, security best practices, and cost awareness.

• Familiarity with regulatory and security standards relevant to payments and financial services (e.g., PCI DSS, SOC 2, data privacy and protection best practices).

• Demonstrated impact as a Staff or Principal Engineer (or equivalent) in high‑growth, high‑scale environments.

What Will Set You Apart

• You think in systems – connecting data, models, rules, services, and processes – and you optimize for overall risk and customer outcomes, not just local component metrics.

• You have a track record of designing and shipping mission‑critical, low‑latency systems that support real‑time decisions at scale.

• You are comfortable operating in ambiguity, turning fuzzy business and risk goals into crisp technical strategies, roadmaps, and measurable outcomes.

• You are a multiplier for other engineers: people seek you out for design guidance, code reviews, and debugging; teams move faster and with more confidence when you’re involved.

• You balance pragmatism and rigor – you know when to build scrappy experiments, when to harden systems, and how to evolve architectures incrementally without destabilizing operations.