A financial services organisation is strengthening data work across AML/KYC and Financial Security. As a Senior Data Analyst for AML/KYC, you turn business needs into data solutions, tests, reports, and dashboards, bridging business stakeholders with technical teams. The role combines SQL, BI, , data vault, and data marts with hands-on knowledge of Financial Security data domains.
The mission:
You lead from ideation through delivery and continuous improvement. You analyse existing data flows, user roles, usage patterns, and data issues, then define target solutions and practical use cases. The scope covers business case development, requirements co-creation, workflow processes, data architecture input, and solution validation.
Working with Product Owners, architects, and subject matter experts, you maintain requirements traceability and support impact analysis. You translate business needs into conditions for product, performance, and UAT testing, review prototypes, support quality reviews, and help delivery through testing, , and reporting.
Your responsibilities:
- Analyse AML, KYC, and Financial Security data flows, usage, roles, and quality issues.
- Define target data solutions and use cases from business needs.
- Manage requirements, traceability, impact analysis, and stakeholder alignment.
- Translate requirements into product, performance, and UAT test conditions.
- Support conceptual models, data architecture, prototypes, and solution quality reviews.
- Support backlog management, sprint planning, MVP delivery, and reporting.
- Coordinate testing, , and communication between business and IT.
Your profile
Essential skills:
- At least four years of relevant experience.
- Hands-on expertise in AML, KYC, and Financial Security data domains.
- Experience with techniques and methods, IT testing, and SQL querying.
- Understanding of big data, BI, reporting, dashboarding, data vault, and data marts.
- Experience with , backlog management, sprint planning, and MVP mindset.
- Strong , , and requirements management skills.
- Ability to bridge business and IT and understand workflow processes.
- Proficiency in , including Word, Excel, and .
- Analytical and structured, with strong problem-solving and communication skills.
Preferred skills:
- Familiarity with .
- Experience with reporting solutions such as and .
- Ability to slice epics and features into actionable .
- Hands-on backlog refinement, dependency mapping, and story-slicing techniques.
- Knowledge of banking activities, customer data, and compliance.
- Experience creating roadmaps and prioritising backlogs, balancing stakeholder needs with team capacity.
- Experience with UAT testing, , traceability, and data architecture.
Languages:
- : B2
- : B2
- : C1
Education:
's or , or equivalent experience.
What's next?
The people who do well here are the ones who saw themselves in this description. Not because they match every line, but because the mission felt right for them.
We are actively hiring for this position. Applications are reviewed by our team, and matching profiles receive a call to discuss the role in detail.
It takes under a minute to apply. Your email, your CV. That is all we need to start the conversation.