Description

Responsibilities

• Define and execute the multi-year technical vision for future-state fraud prevention systems across new and existing product lines
• Design and build real-time detection, decisioning, and response systems capable of operating reliably at high transaction volumes
• Serve as the technical authority on fraud risk for new launches, partnering with payment processors and external financial partners for emerging payment initiatives
• Drive the adoption of AI/ML-driven development, LLM-augmented tooling, and intelligent automation across engineering and fraud operations workflows
• Conduct design reviews, write high-impact production code where needed, establish technical standards, and mentor engineers
• Partner closely with product, risk, compliance, data science, and business leadership to align engineering execution with overall risk strategy

Qualifications

• Required
  • 12+ years in software engineering with primary focus on banking, payments, transaction monitoring, or fraud prevention
  • Deep understanding of payment networks, authorization systems, identity verification, and financial regulations (PCI-DSS, BSA/AML, Reg E)
  • Proven track record architecting distributed, low-latency, real-time systems in a regulated financial environment
  • Demonstrated experience integrating applied machine learning, automated decisioning, or intelligent tools into production
  • Experience operating at a Staff/Principal/Architect level, influencing executive leadership while staying technically hands-on
• Preferred
  • Experience at a major bank, asset manager, or fintech scaling into new payment or debit products
  • Hands-on familiarity with real-time streaming architectures (Kafka, Flink) and complex decision engines
  • Background in adversarial modeling, behavioral analytics, or fraud ring detection
  • AWS cloud architecture experience

Key Skills

Education

Any Graduate