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Conduct KYC, CDD, EDD, and OEDD customer reviews; identify and report financial crime risks; prepare due diligence reports; perform quality checks; communicate with customers and Relationship Managers; document findings; train colleagues; and support daily team operations and process continuity.

Own the AI Platform product backlog, roadmap, prioritization, governance, and delivery. Coordinate stakeholders and engineering teams to scale AI solutions, define testing and quality standards, monitor platform health, optimize costs, and improve onboarding. Ensure compliance with the EU AI Act and DORA while managing risks, dependencies, and adoption across the organization.

Own the AI Platform product backlog, roadmap, prioritization, governance, testing, deployment, monitoring, and cost optimization. Coordinate stakeholders, architects, engineers, security, and governance teams to scale AI solutions across the bank. Establish AI idea intake and evaluation processes, quality gates, onboarding, operational metrics, and compliance with the EU AI Act and DORA while managing risks, dependencies, and delivery.

Own the AI Platform product backlog, roadmap, prioritization, governance, testing, deployment, monitoring, onboarding, and cost optimization. Coordinate stakeholders, architects, engineering, security, and governance teams to scale AI solutions across the bank. Establish AI idea intake and quality standards, manage risks and dependencies, support regulatory compliance with the EU AI Act and DORA, and drive platform adoption and continuous improvement.

Designs and executes manual and automated tests, develops test plans, identifies and tracks defects, performs functional, regression, integration, API, and performance testing, and maintains automation frameworks. Collaborates with development and product teams, supports continuous testing and production deployments, and helps resolve post-release issues while contributing to software quality and team improvement.

Designs and executes manual and automated tests, including functional, regression, integration, performance, and API testing. The role identifies and tracks defects, maintains automation frameworks, collaborates with development and product teams, supports continuous testing and production deployments, and helps resolve post-deployment issues. Requires knowledge of SDLC/STLC, QA tools, version control, CI/CD, and fluent English.

Build and operate reliable, scalable data platforms using AWS, Kubernetes, automation, Infrastructure as Code, CI/CD, observability, and GitOps. Develop operational tooling, manage cloud-native infrastructure, create monitoring and alerting, troubleshoot incidents, perform root-cause analysis, and improve platform resilience. The role supports distributed data technologies and collaborates with cross-functional engineering and technology teams.

Build and operate reliable, scalable AWS data platforms using cloud infrastructure, automation, Infrastructure as Code, Kubernetes, CI/CD, GitOps, and observability tools. Develop operational tooling, dashboards, metrics, and alerts; improve platform performance and developer experience; and support incident response, troubleshooting, root-cause analysis, and post-incident reviews. The role partners with cross-functional teams to promote DevOps practices and operational excellence across production and non-production environments.

Build and operate reliable, scalable AWS-based data platforms using infrastructure as code, automation, Kubernetes, and GitOps. Develop DevOps tooling, CI/CD pipelines, monitoring, dashboards, and alerting with Grafana and Prometheus. Support incident response, troubleshooting, root-cause analysis, and platform improvements across production and non-production environments. Collaborate with engineering and technology teams to promote operational excellence and improve developer experience.

Designs and executes manual and automated testing, including functional, regression, integration, API, and performance tests. The role identifies and tracks defects, collaborates with development and product teams, maintains automation frameworks, supports continuous testing and CI/CD, and assists with production deployments and post-release issue resolution.