Technical BSA

Senior Business Systems Analyst – AML / Financial Crime

Role Overview

This role replaces a highly technical AML Modeling Analyst / Software Engineer / Scrum Master and requires a hands?on, data?driven BSA with deep domain expertise in AML, sanctions, fraud, and financial crime. The individual will work closely with data engineering, modeling, and development teams to translate complex regulatory and business requirements into technical solutions across analytics, pipelines, and case management systems.

Core Responsibilities

• Serve as a technical BSA and domain SME for AML, sanctions screening, fraud, and broader financial crime initiatives.
• Partner with stakeholders to analyze complex business problems, define scope, and translate regulatory and business requirements into detailed functional and technical requirements.
• Perform advanced data analysis using complex SQL and Python across multiple data platforms, including Hadoop, Oracle, MongoDB, and Elasticsearch.
• Design and maintain integrated data views and analytical reports sourcing data from multiple systems and pipelines.
• Support and refine behavioral models, screening models, and filters, working closely with data scientists and model developers.
• Collaborate on and support data and model pipelines built in PySpark, assessing and managing the impact of changing requirements.
• Support end?to?end case management workflows, ensuring suspicious transaction alerts flow through investigation, routing, and resolution processes.
• Work closely with Java and Angular development teams on systems with Java?based backends and Angular frontends, ensuring alignment between data, APIs, and UI behavior.
• Lead or support Agile / SAFe delivery, managing backlogs, writing detailed user stories, and at times acting in a Scrum Master or crew?lead capacity.
• Advise business and technology leadership on system improvements, architectural changes, and workflow optimizations.
• Support testing strategies, UAT coordination, documentation, and knowledge transfer to operations and end users.

Required Skills & Experience

• Deep domain expertise in AML, sanctions screening, fraud, and financial crime.
• Strong technical BSA background, with the ability to work hands?on with data and engineering teams.
• Advanced SQL skills and Python / PySpark scripting experience for data analysis and pipeline support.
• Hands?on experience with Hadoop, Oracle, MongoDB, and Elasticsearch.
• Working knowledge of Java?based systems and enterprise web applications (Angular/JavaScript ecosystem).
• Experience with financial crime and compliance platforms such as Actimize (required).
• Extensive experience working on Agile / SAFe teams, using Jira and related tooling.
• Proven ability to translate complex regulatory and business needs into clear, actionable technical requirements.

Preferred / Flex Skills

• FircoSoft (high priority)
• LexisNexis (high priority)
• Oracle FCCM (secondary priority)
• Experience advising on cost?benefit and ROI analysis for technology initiatives
• Prior experience acting as a Scrum Master or Agile delivery lead