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Define detailed requirements for transaction processing and balance management; verify and regression-test supplier deliveries; investigate and resolve ledger incidents; maintain documentation and runbooks; support internal configuration and day-to-day ledger queries; integrate new products and instruments; collaborate with Product, QA, Delivery Manager, and external suppliers to ensure accurate, well-tested ledger operations.

Define detailed requirements for transaction processing and posting logic, verify and regression-test supplier deliveries, support internal ledger configuration, investigate and resolve ledger incidents, document data flows and runbooks, provide hands-on support to finance and ops teams, and help integrate new products into the ledger framework.

Define and document detailed requirements for transaction processing and posting logic, verify and regression test supplier deliveries, investigate and resolve ledger incidents, support internal ledger configuration and day-to-day queries, maintain documentation and runbooks, and collaborate on integrating new products into the core ledger platform.

Own test strategy and execution for the Core Ledger platform: build test plans, run functional/integration/regression/acceptance tests, verify supplier deliveries, triage defects, track quality metrics, and support go/no-go decisions to ensure accurate ledger transactions and reconciliations.

Serve as first point of contact for Italian and Spanish customers across digital and voice channels. Resolve inquiries, manage complaints, maintain CRM records, collaborate with Risk/Compliance, analyze financial documents, and make final credit decisions per internal policy to protect portfolio quality.

Serve as first point of contact for Italian and Spanish customers across voice and digital channels. Resolve inquiries and complaints, maintain CRM records, collaborate with Risk and Compliance, analyze financial documents, and make final credit decisions within policy to protect portfolio quality.

Build, maintain, and optimize ETL pipelines and analytical data warehouse infrastructure. Deploy, monitor, and operate machine learning models in production, automate model lifecycle and data processing, collaborate with Data Science/BI/Engineering/Risk/IT, troubleshoot performance issues, and maintain technical documentation.

Build, maintain, and optimize ETL pipelines and analytical data warehouse environments. Deploy, monitor, and scale machine learning models in production; automate model deployment and recurring data processes. Collaborate with Data Science, Engineering, BI, Risk, and IT teams; troubleshoot performance issues and maintain technical documentation.

18-month, full-time trainee program in Stockholm for early-career candidates to join a product team focused on customer acquisition and experience. Contribute to public web, checkout and post-purchase journeys, learn end-to-end product requirements and roadmap work, collaborate with product, tech, design and commercial teams, and progress toward a junior Product Manager role with mentor support and cross-domain exposure.

The AML Subject Matter Expert will ensure compliance with AML regulations in Lithuania, develop procedures, conduct assessments, liaise with authorities, and provide training. They will also report metrics and support audits.