Engineering Lead/Manager, Risk (Relocate to Singapore)

As an Engineering Lead/Manager, you will own the strategy, roadmap, and delivery of real-time detection systems and client-facing fraud management products that protect customers and revenue at global scale. This is a hands-on leadership role: you will shape architecture and execution while developing managers and senior engineers to do the best work of their careers.

Responsibilities

Own the strategy, roadmap, and delivery of real-time detection systems and client-facing fraud management products that protect customers and revenue at global scale; Provide strategic leadership for a mission-critical fraud and risk platform, aligning technical direction and capacity planning with business goals and regulatory requirements; Work with PM, Design, Ops, Commercial and Strategy teams to shape the future of our fraud management products; Build and scale a high-performing engineering organization (including managers and senior ICs): set goals, establish career paths, run performance and compensation processes, and cultivate a culture of ownership, inclusion, and excellence; Partner closely with PM to define the roadmap, prioritize a measurable backlog, and deliver outcomes that improve detection rates, reduce false positives, and minimize chargebacks; Serve as the accountable owner for architecture and system quality across services, ensuring reliability, scalability, and cost efficiency for real-time decisioning under high load; Remain hands-on where it matters: guide designs, review critical code and APIs, and de-risk complex initiatives with pragmatic technical deep dives; Drive design and code quality: institute standards, reviews, and automated checks that raise the bar without slowing teams down; Ensure cross-team collaboration with platform, data, SRE, security, and global engineering teams; remove blockers and foster clear interfaces, SLAs, and ownership; Own operational excellence: on-call readiness, incident response, postmortems, observability, capacity planning, and continuous reliability improvements; Lead talent strategy: recruit, onboard, and develop engineers and managers; build diverse teams and succession plans for sustained velocity

Requirements

8+ years in back-end engineering with 2+ years in engineering management, including ownership of complex, distributed systems in production; Risk management or Fintech product engineering experience; Bachelor’s degree in Computer Science or related field; Proficiency in Java, including multi-threading, high-concurrency patterns, I/O/NIO, and network programming; Deep experience with distributed systems and high-availability, high-throughput architectures (caching, partitioning, consistency models, and resiliency patterns); Proficiency with Spring / Spring Boot, HTTP, TCP/IP, REST, and build tools such as Gradle / Maven; Practical experience with Docker and Kubernetes for containerization and orchestration

Nice to have

Leadership across multiple disciplines (e.g., frontend, backend, data/ML, SRE) with managers-of-managers scope for Director-level candidates; Working knowledge of machine learning in production and strong data analysis skills to interpret model and rule performance; Fluency in English for effective collaboration across global teams and stakeholders; Familiarity with modern data and storage technologies: Cassandra, Redis, NoSQL, Hadoop, and streaming systems (e.g., Kafka, Flink, Spark); Polyglot engineering with one or more of Kotlin, Scala, Python, Golang; Cloud experience with Alibaba Cloud, AWS, or GCP; strong grasp of cloud networking, security, and cost management; Background with risk-specific components: rule engines, feature stores, model serving, A/B testing/experimentation, and real-time stream processing; Awareness of regulatory and security standards relevant to payments (e.g., PCI DSS, SOC 2, data privacy best practices)