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We are looking for a Senior Business Analyst with 7+ years of experience and extensive, hands-on delivery expertise in the banking sector to join the Anti-Financial Crime (AFC) System Management Unit within the Financial Crime Risk Management Department. Supporting the AML/KYC/CARS/EDD/Tax Value Stream, you will drive new CARS implementations, design Transaction Monitoring scenarios, support Salesforce migration initiatives, and optimize customer risk scoring and investigation workflows.
Details
Role: Senior Business Analyst — Banking & Anti-Financial Crime
Seniority: Senior (7+ years of BA experience with proven banking AML/AFC delivery)
Start Date: ASAP
Duration: Until December 31, 2027 (with possible extension)
Workload: Full-time
Rate Cap: Up to 140 PLN/h net (B2B)
Location & Work Model: Remote with possible monthly business trips to Riga, Tallinn, or Vilnius (all travel expenses covered by the client).
Language Requirements: Fluent spoken and written English.
Responsibilities
Gather, analyze, and document business and technical requirements for AFC systems; support new CARS implementations, Salesforce migration initiatives, and system configurations for Application Owners.
Design, implement, and maintain Transaction Monitoring scenarios, business rules, customer risk scoring models, and investigation workflows.
Analyze large-scale customer and payment datasets (including ETL processes) using SQL and Python, and apply process mining to identify operational improvements.
Produce technical specifications, typology and implementation documentation, analytical reports, and stakeholder presentations.
Collaborate across cross-functional business and technology teams in Agile frameworks (Scrum, Kanban, SAFe) and support end-to-end change management.
Requirements
Banking & Anti-Financial Crime:
7+ years of Business Analyst experience with deep, hands-on banking delivery in AML/AFC and Financial Crime Risk Management (theoretical knowledge alone is insufficient).
Proven track record in designing and maintaining Transaction Monitoring scenarios, business rules, customer risk scoring models, and investigation workflows.
Solid grasp of AML/AFC regulatory requirements, methodologies, and industry guidelines.
Data & Technical Stack:
Advanced SQL: Complex data extraction, appropriate join selection, and query optimization across datasets containing millions of records (assessed in depth during the technical interview).
Python & Analytics: Proficiency in Python for data extraction/analysis, strong statistical skills, and experience with Power BI and Tableau.
Data Architecture & Cloud: Experience with customer/payment ETL processes, event-driven architecture, data lakes/warehouses, AWS, Kafka, Kubernetes, and Kafkabat.
Business Analysis & Tooling:
Expertise in requirements engineering, workflow design, process mining, and change management.
Hands-on proficiency with Jira and Confluence within Scrum, Kanban, or SAFe environments.
Communication: Strong stakeholder management and fluent verbal/written English.
Nice to Have: Hands-on experience with specialized AFC/AML platforms: Bridger XG, Siron Suite, Compliance Lens, or AML Analytics.