Engineering Manager, Financial Crimes

About This RoleAI processing…

Key Responsibilities

• 1
  Lead, mentor, and grow a team of engineers (IC3–IC5), setting clear goals, providing regular feedback, and supporting career development
• 2
  Build a top-tier tooling experience, leveraging AI to streamline workflows, improve analyst efficiency, and accelerate investigation operations
• 3
  Guide onboarding of new financial crimes use cases into our case management systems, ensuring reliability, scalability, and regulatory alignment
• 4
  Contribute to architectural decisions and remain technically engaged in systems built with Golang, Python, AWS, Kubernetes, and SQL-based data stores
• 5
  Partner with Financial Crimes Operations and peer engineering teams to translate regulatory and investigative requirements into technical solutions
• 6
  Establish strong engineering processes across on-call, deployment, and code review practices, maintaining high system availability and quality.

Requirements

• Experience leading and developing engineers in a high-growth technology environment, with a track record of delivering multi-quarter technical initiatives.
• Strong technical depth in backend systems, with hands-on experience in Golang (primary), Python, AWS, Kubernetes, and SQL.
• Experience building or supporting financial crimes, fraud, compliance, or fintech systems; familiarity with AML or sanctions screening workflows is preferred.
• Experience designing and delivering data-intensive systems, ideally including detection platforms, data pipelines, or internal tooling.
• Working knowledge of machine learning or generative AI concepts, with the ability to evaluate and apply them to platform use cases.
• Ability to collaborate effectively with operations, product, and engineering partners to deliver systems that meet regulatory and business requirements.

Perks & Benefits