Solution Engineer - Quantexa Platform

A global financial services technology team is hiring a Solution Engineer to support delivery of Quantexa-based transaction monitoring and financial crime analytics capabilities. This role sits between business stakeholders, data teams, platform engineers, and technical leadership to turn use cases into scalable, secure, and production-ready solutions. The right person will be hands-on with Quantexa delivery and comfortable working across discovery, solution design, data integration, prototyping, testing, documentation, and release readiness. Success in this role means helping teams move from requirements into working platform capabilities that are reliable, well-documented, and aligned to business outcomes. Responsibilities: Support discovery sessions with business, data, and engineering stakeholders. Translate transaction monitoring and financial crime use cases into technical solution inputs. Help design Quantexa-based data ingestion, entity matching, relationship analytics, and integration patterns. Build demos, prototypes, and proof-of-concepts to validate platform capabilities. Partner with engineering teams to convert designs into delivery stories and implementation tasks. Support integrations with enterprise data sources, APIs, messaging, identity, and security systems. Assist with environment validation, release readiness, runbooks, and production issue triage. Create clear technical documentation, configuration notes, data mappings, and enablement materials. Role Requirements: 5+ years of experience in solution engineering, technical consulting, implementation, or data platform delivery. Hands‑on experience with Quantexa configuration, data pipelines, entity resolution, and network analytics. Strong understanding of data integration, ETL/ELT, APIs, batch/streaming patterns, data quality, and lineage. Experience with big data or distributed processing concepts, especially Spark. Familiarity with Scala and/or Python. Experience with modern delivery practices such as Git, CI/CD, artifact repositories, and agile execution. Cloud platform experience, with Azure preferred. Strong communication skills and the ability to explain technical concepts to non‑technical stakeholders. Ability to support workshops, document decisions, influence stakeholders, and drive action items to closure. Nice to Have: Financial crime, AML, fraud, transaction monitoring, or customer intelligence experience. Entity resolution and graph/network analytics tuning experience. MLOps, ModelOps, feature engineering, or production model integration exposure. Quantexa certification or related data analytics certifications. Prior banking or regulated financial services technology experience. How We Work: Hybrid schedule with 5 in‑office days over a 10‑business‑day cycle. Cross‑functional delivery model across business, data, engineering, and technical leadership. Hands‑on environment where solution engineers stay close to implementation. Focus on scalable, secure, well‑documented, and production‑ready platform delivery. Agile delivery with emphasis on clear documentation, reusable assets, and release discipline. #J-18808-Ljbffr Madison-Davis, LLC