Teams at Quantifind

Design and present transformation roadmaps, business cases, process improvements, workshops, demos, and proposals for European financial institutions. Lead customer discovery, diagnose AML/KYC, sanctions, and fraud-related needs, scope tailored AI-driven risk solutions, and support sales engagements through handoff to Customer Success. Provide market and client insights to Product and Engineering, maintain sales enablement materials, contribute to technical marketing content, and manage multiple projects while traveling across Europe.

Build and maintain platform data services and ML infrastructure powering a SaaS product. Work on Hadoop/Spark pipelines, real-time services, Kubernetes/Docker containerized microservices in Scala/Python, design scalable algorithms and ETL pipelines, write automated tests, and collaborate with data scientists, DevOps, front-end engineers, and product managers.

Design, build, and maintain Quantifind's Apache Spark batch pipelines and backend platform that generate risk signals from diverse data sources. Implement scalable algorithms, data services, ETL pipelines, and microservices; deploy on Kubernetes and optimize storage/caching and distributed processing. Collaborate with Data Scientists, DevOps, Product, and Sales to deliver performant, testable systems processing terabytes daily.