Engineering Lead/Manager, Risk

Attributes We Value: We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

Who you are: We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

• 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.

Preferred Qualifications:

• 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).