Senior Business Analyst (Banking & Anti-Financial Crime)

Quick Facts

• 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)

• Work Model: Remote with possible monthly business trips (travel expenses covered)

• Rate Cap: Up to 140 PLN/h net (B2B)

• Language: Fluent spoken and written English

Description

You will join the Anti-Financial Crime (AFC) System Management Unit within Financial Crime Risk Management to support AML/KYC/CARS/EDD/Tax capabilities. You will drive new CARS implementations, design Transaction Monitoring scenarios, support Salesforce migration initiatives, and optimize customer risk scoring and investigation workflows.

Responsibilities

• Gather, analyze, and document business and technical requirements for AFC systems; support new CARS implementations, Salesforce migration initiatives, and system configurations.

• 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; 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 for complex data extraction, join selection, and query optimization across datasets containing millions of records.

• Proficiency in Python for data extraction/analysis; strong statistical skills; experience with Power BI and Tableau.

• 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.

• 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.