"Senior Business Analyst – Banking & Anti-Financial Crime"
anti-money-laundering-aml, tealeaf-cximpact, change-management
Előnyben részesített képesítések
- Tapasztalat: Szakértő
Senior Business Analyst – Banking & Anti-Financial Crime
Location: Baltics / European Union
Work Arrangement: Mainly Remote (possible monthly business trips to Riga, Tallinn, or Vilnius). Travel expenses covered by the customer.
Time Zone: Baltic / European Time Zones
Workload: Full-Time (Approximately 160 Hours per Month)
Start Date: ASAP
Contract End Date: 31 December 2027 (Very long-term engagement, with years of work in the backlog)
Openings: At Least 1, with potential for additional hires.
About the Role
We are looking for a Senior Business Analyst with 7+ years of experience and extensive, proven hands-on banking experience to join the AFC (Anti-Financial Crime) System Management Unit within the Financial Crime Risk Management Department.
You will support the AML / KYC / CARS / EDD / Tax Value Stream, focusing on:
New CARS Implementation
Transaction Monitoring Requirements and Implementation
Salesforce Migration Initiatives
Configuration Support for Application Owners
Working closely with business and technology stakeholders, you will translate business requirements into technical solutions, improve financial crime processes, and support the implementation of AFC capabilities.
Important: Extensive practical banking experience is essential. Candidates must demonstrate hands-on delivery experience in AML/AFC. Theoretical knowledge alone is not sufficient.
Key Responsibilities
Gather, analyze, and document business and technical requirements for AFC systems and processes.
Support new CARS implementation and Salesforce migration initiatives.
Design, implement, and maintain Transaction Monitoring scenarios and business rules.
Support Application Owners with CARS and Transaction Monitoring configuration.
Develop and improve customer risk scoring models and investigation workflows.
Analyze customer and payment data, including ETL processes, using SQL and Python.
-Apply process mining and data analysis to identify process improvement opportunities.
Produce technical specifications, typology documentation, implementation documentation, analytical reports, and presentations.
Support change management and collaborate across business and technology teams in Agile delivery environments.
Essential Experience and Skills
1. Banking & Financial Crime
7+ years of experience as a Business Analyst, with extensive, proven practical experience in banking.
Strong hands-on expertise in Banking AML/AFC and Financial Crime Risk Management.
Experience designing, implementing, and maintaining Transaction Monitoring scenarios.
practical experience in Business Rules Design and Implementation.
Expertise in Customer Risk Scoring Models.
Experience designing and optimizing Investigation Workflows.
Strong knowledge of AML/AFC processes, methodologies, regulatory requirements, and industry guidelines.
2. Business Analysis & Delivery
Strong experience in Requirements Analysis, Workflow Design, Process Mining, and Change Management.
Experience producing Technical and Typology Documentation, Technical Specifications, and Implementation Documentation.
Experience preparing Analytical Reports and Presentations.
Hands-on experience with Jira and Confluence.
Experience working in Agile environments, including:
Scrum
Kanban
SAFe
3. Data & Technology
Advanced, practical SQL skills, including:
Complex data extraction.
Appropriate join selection.
Query optimization across datasets containing millions of records.
Python proficiency for data extraction and analysis.
Strong Statistical and Data Analysis Skills.
Experience with Customer and Payment Data ETL Processes.
Understanding of:
Event-Driven Architecture
Data Lakes
Data Warehouses
Familiarity with:
Kafka
Kubernetes
Kafkabat
Experience with Power BI and Tableau.
Knowledge of AWS.
Technical Interview Focus:
The technical interview will assess SQL skills in depth, including:
How and why to use different types of SQL Joins.
How to optimize queries at scale.
How to extract complex and hard-to-identify data from large datasets.
4. Communication & Collaboration
Strong Stakeholder Management and cross-functional collaboration skills.
Excellent Written and Verbal Communication.
Fluent English, both spoken and written.
Nice to Have
Experience with any of the following tools will be a strong advantage:
Bridger XG
Siron Suite
Compliance Lens
AML Analytics
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