We are hiring a Solution Architect with strong engineering depth and financial crime domain expertise to design and build scalable fraud and AML solutions. This role combines hands-on development, architecture leadership, and cross-functional collaboration to deliver enterprise‑grade financial crime platforms.
Key Responsibilities
- Design end-to-end architecture for financial crime and fraud detection platforms
- Contribute hands‑on engineering (Java, data platforms, APIs) to build scalable solutions
- Develop microservices, data pipelines, and real‑time transaction monitoring systems
- Build integrations between core banking, payments, and fraud detection platforms
- Architect high‑performance systems capable of processing high‑volume transaction data
- Implement event‑driven and streaming architectures for fraud detection
- Lead design and implementation of platforms such as
- Translate fraud typologies, AML regulations, and detection strategies into technical solutions
- Partner with Fraud Operations, Analytics, Risk, and Compliance teams
- Support analytics teams in operationalizing fraud detection models
- Provide technical leadership and architecture guidance across engineering teams
- Ensure solutions meet scalability, security, and regulatory requirements
Required Experience
- 10+ years in software engineering, data platforms, or solution architecture
- Strong hands‑on development experience in Java and distributed systems
- Experience building real‑time data processing and transaction monitoring systems
- Deep understanding of AML, fraud detection strategies, and financial crime typologies
- Experience integrating enterprise fraud platforms and banking/payment systems
Preferred Skills
- Experience with cloud platforms (AWS / Azure / GCP)
- Knowledge of machine learning models for fraud detection
- Understanding of AML standards from organizations such as Financial Action Task Force
#J-18808-Ljbffr…
