A global financial institution is seeking a hands-on Technical Lead - Transaction Monitoring to advance a Quantexa-based transaction-monitoring platform. This position combines software and data engineering with light technical leadership across implementation, integration, testing, and production readiness. The role is approximately 90% technical delivery and 10% team guidance, making it well suited to an experienced engineer who wants senior-level responsibility while remaining close to the code. RESPONSIBILITIES Develop Quantexa functionality across data ingestion, entity resolution, network generation, and scoring.Build and enhance Scala-based processing components and platform integrations.Work with Databricks and Spark to support production-grade data processing.Translate business requirements into scalable technical solutions.Integrate Quantexa with enterprise data sources and downstream systems.Address performance, scalability, security, and operational reliability.Develop unit and integration tests.Troubleshoot implementation and integration issues.Support release planning, deployment preparation, and production readiness.Guide developers through technical decisions and engineering practices.Collaborate with business analysts, data engineers, vendors, and other stakeholders. QUALIFICATIONS Substantial hands-on technical-development experience.Direct Quantexa implementation experience.Strong Scala programming skills.Hands-on Databricks experience.Strong familiarity with Spark-based data processing.Experience with data ingestion, ETL, data integration, and enterprise connectivity.Understanding of entity resolution, network generation, scoring, or related analytical concepts.Experience with cloud delivery and production-oriented engineering.Experience building unit and integration tests.Ability to troubleshoot complex implementation issues.Ability to guide developers while maintaining significant personal delivery ownership.Strong communication and technical judgment.Ability to work effectively as requirements and implementation details evolve.Bachelor s or master s degree in Computer Science, Information Technology, or a related field.Ability to work onsite in Midtown Manhattan five out of every 10 business days. PREFERRED EXPERIENCE Financial-crime, AML, fraud-detection, transaction-monitoring, or customer-intelligence experience.Azure.Banking or financial-services experience.Quantexa certification.Experience developing reusable connectors or implementation components.Power BI or Tableau.CI/CD and release-automation experience.Git, Gradle, Nexus, Jenkins, Docker, Bash, Azure DevOps, GitHub Actions, or ScalaTest.