Airwallex

Engineering Lead/Manager, Risk (Relocate to Singapore)

Sydney, New South Wales, Australia · Work style not stated · FullTime

Posted over 6 months ago: check it’s still open

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About the role

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  • EmployerAirwallex
  • LocationSydney, New South Wales, Australia
  • Work styleWork style not stated
  • Employment typeFullTime
  • Employer posted

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read ouroperating principles to see it in full.

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How you'll make impact

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 risk platform, aligning technical direction and capacity planning with business goals and regulatory requirements.

Partner with Product, Design, Operations, Commercial, Strategy, Platform, Data, SRE, Security, and global engineering teams to shape the roadmap, remove blockers, and deliver measurable improvements in detection rates, false positives, chargebacks, reliability, and cost efficiency.

Build and scale a high-performing engineering organisation, including managers and senior individual contributors, by setting goals, establishing career paths, developing talent, and cultivating ownership, inclusion, and excellence.

Stay hands-on where it matters: guide architecture, review critical code and APIs, lead pragmatic technical deep dives, and raise the bar on design, code quality, observability, incident response, and operational readiness.

Own system quality across real-time decisioning services, ensuring reliability, scalability, high availability, and high throughput under load.

Lead talent strategy by recruiting, onboarding, and developing engineers and managers, building diverse teams, and creating succession plans for sustained velocity.

You'll be in our Singapore office five days a week.

What we're looking for

Essentials

8+ years of backend engineering experience, including 2+ years in engineering management and ownership of complex, distributed systems in production.

Experience in risk management or fintech product engineering.

A bachelor's degree in Computer Science or a related field.

Strong proficiency in Java, including multithreading, high-concurrency patterns, I/O/NIO, and network programming.

Deep experience with distributed systems and highly available, high-throughput architectures, including caching, partitioning, consistency models, and resilience patterns.

Proficiency with Spring or Spring Boot, HTTP, TCP/IP, REST, and build tools such as Gradle or Maven.

Practical experience with Docker and Kubernetes for containerisation and orchestration.

Experience thinking across systems, data, models, rules, services, and people, rather than optimising one component in isolation.

A track record of turning ambiguity into decisive roadmaps and measurable results.

Experience balancing pragmatism and rigour: delivering incrementally while deliberately paying down risk and technical debt.

Preferred

Leadership across multiple disciplines, such as frontend, backend, data or machine learning, and SRE, including manager-of-managers scope for Director-level candidates.

Working knowledge of machine learning in production and strong data analysis skills for interpreting model and rule performance.

Fluency in English for effective collaboration across global teams and stakeholders.

Familiarity with Cassandra, Redis, NoSQL, Hadoop, and streaming systems such as Kafka, Flink, or Spark.

Experience with one or more of Kotlin, Scala, Python, or Golang.

Cloud experience with Alibaba Cloud, AWS, or GCP, including cloud networking, security, and cost management.

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

Awareness of payments-related regulatory and security standards, including PCI DSS, SOC 2, and data privacy best practices.

Experience coaching and multiplying leaders, attracting and retaining strong talent, and building succession plans.

You'll thrive here if

You're comfortable owning the roadmap yourself.

You're comfortable making decisions with incomplete information and moving quickly anyway.

You're comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.

You own the outcome and you don't wait for permission to fix what's broken.

You connect dots across functions and hold the big picture without losing grip on the details.

Learn more about your team

Risk Platform builds the decisioning infrastructure that sits between Airwallex and every dollar that moves through it, protecting 150,000+ businesses moving over US$260 billion a year across 200+ countries and 90+ currencies, and deciding, often in milliseconds, whether a new signup is real, a payment is safe, or a login is who they claim to be. The hard part is that fraud evolves fast, and every decision carries a two-sided cost: miss an attack and money is lost, over-block and a legitimate business can't get paid. We build this with streaming pipelines processing billions of events a day, graph databases exposing coordinated fraud rings, ML models scoring every transaction, and LLM agents that triage alerts. You don't need a fintech background, just an appetite for adversarial systems problems where the scoreboard is measured in dollars. If you want to help scale one of the world's fastest-growing financial platforms safely, this is the team.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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At a glance

  • Employment typeFullTime
  • SeniorityLead / Principal
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python AWS GCP Kubernetes Docker Java Kotlin Scala Spark Kafka Machine learning A/B testing LLM

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