Business Analyst (f/m/x) for our group-wide Compliance Data Architecture

 

Compliance at a major international bank like RBI runs on data. Sanctions screening, AML transaction monitoring, KYC — these are legal obligations with real consequences if the data is wrong or missing. For a long time, daily data was good enough. But the world has moved on: compliance teams need data faster, fresher, and in better quality. Our team is driving that shift — building the architecture that makes compliance data available in real-time, at the push of a button. 

 

This is hands-on work with a modern stack. Events stream in through Apache Pulsar, get processed and enriched, land in Databricks and surface as compliance insights in Power BI. We translate what compliance teams need in their data products — and we keep expanding that product portfolio. There is no shortage of interesting problems here. Promised! 

 

If you want to work at the intersection of compliance and data engineering, get close to a live event streaming architecture, and see your work directly used by compliance teams across RBI Group — this is the right team.  

 

Your role at RBI: 

 

  • Act as the bridge between compliance and engineering, aligning stakeholders with different priorities and ensuring discussions remain productive and outcome-driven

  • Contributing to our team spirit - we are an international, distributed team and we make that work

  • Translate requirements across AML transaction monitoring, KYC, case management, and reporting into structured data product specifications (schemas, field definitions, business rules, and measurable data quality criteria)

  • Analyze end-to-end data flows across our event-driven architecture (Apache Pulsar → Databricks) and identify gaps between stakeholder needs and current data products

  • Lead requirements discovery and backlog refinement together with product, engineering, and reporting stakeholders

  • Own data quality monitoring requirements: define freshness, completeness, and correctness thresholds and drive incident resolution and root-cause analysis with engineering

  • Design and execute test cases for data pipeline deliveries, validating mappings, transformations, and completeness before go-live 

 

Your core competencies: 

 

  • Strong understanding of data modelling and data architecture concepts, ideally in BI, analytics, or data platform environments

  • Curious, with a sense of humour, and motivated to improve the architecture, processes, and tools you work with

  • You treat AI tools as force multipliers: using them actively in analysis, documentation, and validation, while applying sound judgment to outputs

  • Experience in a business analyst or data analyst role, preferably in financial services, banking, or compliance

  • Ability to write precise, testable acceptance criteria and clear data quality definitions (completeness, freshness, correctness)

  • Comfortable working across technical and business discussions, with the ability to build common ground between stakeholders with different perspective

  • Structured and self-reliant working style, taking end-to-end ownership and driving topics to completion

  • Proactive and team-oriented, surfacing blockers early and coming with solutions, not just problems

  • You understand agility as a mindset, not a framework — and apply it pragmatically in your daily work

  • Strong English skills for collaboration across RBI 

 

Nice to have: 

 

  • Experience with agentic AI workflows or prompt engineering — building structured prompts, chaining LLM calls, or using tools like GitHub Copilot, Cursor, or custom GPT agents to automate analytical and documentation tasks

  • Python basics — for ad-hoc data validation, Databricks notebooks, or AI-assisted scripting; even better if you've used LLMs to help you write or debug your own scripts

  • Conceptual understanding of event-driven or streaming architectures (Apache Pulsar, Kafka) — enough to participate in technical discussions about our pipeline design

  • Experience with Power BI or comparable BI/visualization tools — our management reporting layer surfaces compliance indicators directly in PowerBI

  • Exposure to Databricks, Delta Live Tables, or similar lakehouse/big data platforms

  • German language skills — a plus when working with Austrian stakeholders 

 

What we offer: 

 

  • Flexible work week: Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country.
  • Global community: 75+ nationalities, English as the company language, and work permit support. Find out more about international applications here.  
  • Career growth: We believe in continuous learning and proactive career development. Take on challenging work that stretches your abilities, attend trainings, and use new technologies to make a lasting impact.
  • Stay healthy: Subsidized canteen, well-being programs, check-ups, and sport allowances.
  • Save money: Discounts, exclusive banking terms, and a heavily subsidized public transport pass.
  • Family support: Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare.
  • Competitive salary: Starting at EUR 67.400 gross p.a. including overtime, with market-compliant overpayment based on experience and qualifications. We are happy to discuss your actual salary in person.

If you have questions regarding our application process, feel free to check out our FAQ or our page for international applicants.

 

Your contact:

Michaela Kyselakova 
Talent Acquisition Team

Foto Christina Stolz

 

Als Raiffeisen Bank International zählen wir über 17 Millionen Kund:innen in Österreich und 11 weiteren Ländern in Zentral- und Osteuropa. Diesen Erfolg haben wir unseren engagierten Mitarbeiter:innen zu verdanken. Bei uns übernimmst du ab Tag eins Verantwortung und entscheidest selbst, wohin dein Weg geht – wachsen kannst du dabei in alle Richtungen. Gleichzeitig trägst du dazu bei, unseren Kund:innen echten und nachhaltigen Mehrwert zu liefern. Wir setzen auf Vielfalt, Offenheit und Fairness – und schaffen eine Kultur, in der jede Stimme zählt und jede:r einen Beitrag leisten kann.

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