Fintech Risk Engineering Manager (M3)

What you'll do

• Define multi-year risk platform, data, and decisioning strategy, aligning investments with business goals and risk KPIs.
• Lead a multi-layered engineering organization and cross-functional programs, ensuring measurable outcomes and strong talent development.
• Guide real-time risk platforms, AI/ML capabilities, architecture, data governance, reliability, security, and regulatory compliance.

What they ask for

• 15+ years of software engineering experience with 8+ years leading senior leaders and multi-layered organizations.
• Track record owning and delivering large-scale risk, fraud, payments, or financial platforms; experience influencing business KPIs such as loss rate, approval rate, or customer churn.
• Experience driving enterprise-wide strategy and execution across multiple teams and domains.
• Deep expertise in distributed systems, cloud-native architectures, and real-time decisioning systems; ability to partner with executive stakeholders and translate between technical and business domains.

Nice to have

• Experience owning or influencing risk P&L, fraud loss budgets, or portfolio performance; background in AI/ML-driven risk systems, including model governance and explainability.
• Experience in highly regulated financial environments; college degree in Computer Science, Engineering, or related field.

Tools

distributed systems, cloud-native architectures, real-time decisioning systems, AI/ML

AI focus

Drive adoption of AI/ML-driven risk capabilities, including model lifecycle management, explainability, and feedback loops tied to business KPIs.