Senior Business Analyst — Banking & Anti-Financial Crime
New
J
JellyLabs TechBanking, financial crime
Remote with possible monthly business trips to Riga, Tallinn, or VilniusContractSenior
SalaryUp to 140 PLN/h net (B2B)
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Job Details
- Languages
- Fluent spoken and written English
- Experience
- 7+ years of Business Analyst experience
- Required Skills
- AWSPythonSQLBusiness AnalysisKafkaMicrosoft Power BIJiraTableau
Requirements
- Have 7+ years of Business Analyst experience with deep, hands-on banking delivery in AML/AFC and Financial Crime Risk Management.
- Bring practical delivery experience; theoretical knowledge alone is insufficient.
- Demonstrate experience designing and maintaining Transaction Monitoring scenarios, business rules, customer risk scoring models, and investigation workflows.
- Understand AML/AFC regulatory requirements, methodologies, and industry guidelines.
- Use advanced SQL for complex data extraction, join selection, and query optimization across large datasets.
- Be proficient in Python for data extraction and analysis and have strong statistical skills.
- Have experience with Power BI and Tableau.
- Have experience with customer/payment ETL processes, event-driven architecture, data lakes or warehouses, AWS, Kafka, Kubernetes, and Kafkabat.
- Demonstrate expertise in requirements engineering, workflow design, process mining, and change management.
- Have hands-on proficiency with Jira and Confluence in Scrum, Kanban, or SAFe environments.
- Have strong stakeholder management skills and fluent verbal and written English.
- Specialized AFC/AML platform experience with Bridger XG, Siron Suite, Compliance Lens, or AML Analytics is a plus.
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 and business rules.
- Develop customer risk scoring models and investigation workflows.
- Analyze 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 with cross-functional business and technology teams using Agile frameworks.
- Support end-to-end change management.
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