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Coaches Agile teams and Scrum Masters at a large Ukrainian bank, driving Lean/Agile adoption, removing impediments, and mentoring product owners to deliver customer value faster.
This role is for a Senior IT Automation Tester to develop and scale automated test suites within a C#/.NET 8 environment for Nordea. The position involves database-heavy testing, CI/CD pipeline maintenance, and occasional manual testing in a hybrid work model.
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The Data Engineer will build and maintain batch and streaming data pipelines for a banking project, focusing on data quality, lineage, and vector-store integration. The role requires strong proficiency in SQL and Python to manage data synchronization and enterprise system integrations.
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
Mid-level Java back-end developer focused on building and maintaining payment solutions (PIX) using Java 11+, Spring Boot, microservices, Kafka, and multi-cloud environments (Azure/AWS).
Analyze user behavior in SumUp’s wallet app, run A/B tests, and shape product strategy using SQL, product analytics, and dashboards.
Alm. Brand Group is seeking an AI Engineer to develop and scale AI and machine learning solutions across insurance business areas like claims and underwriting. The role involves the full lifecycle of AI projects, from experimentation to production, using technologies such as Python, Azure, and GenAI.
The Senior AI Engineer will build and deploy AI-enabled applications and agentic systems using Kotlin, Java, Spring Boot, React, and TypeScript. The role involves integrating LLMs with enterprise systems, implementing RAG, and managing AI performance and security on Azure.
Leads product strategy and execution for a European online banking platform targeting SMEs, shaping fintech solutions used by 100K+ clients across 10+ countries.
Analyzes product data to drive decisions for a fintech company offering banking and payment solutions.
The Data Science Intern will be responsible for conducting analytics and monitoring the performance of machine learning models within a financial context.
Avenga is seeking a Senior Project Manager to lead banking-sector projects by developing project plans, facilitating agile workflows, and coaching teams on Flight Levels and OKR frameworks. The role requires extensive experience in financial services and proficiency in agile methodologies, Jira, and banking system requirements.
Business/system analyst at Sberbank designing and automating collateral valuation processes using AI, APIs, and microservices to support lending and regulatory reporting.
Leads cross-domain operational improvement programs at Pie Insurance, using Lean/Six Sigma and AI tools to design scalable processes, coach teams, and drive measurable efficiency gains across fintech business domains.
As a Cloud Engineer, you'll build a hybrid cloud data platform handling petabytes of data, supporting AI/ML, using GCP, Dataproc, BigQuery, Spark, Terraform, Kubernetes, and Docker.
Designs and maintains enterprise-scale cloud data and AI platforms on GCP, focusing on AI/ML, analytics, and agentic workloads. Leads technical governance, troubleshooting, and operational excellence for financial services infrastructure.
A client-embedded AWS Pre-Sales Engineer focused on AI/data transformation, designing AWS-based solutions, building live demos, and leading deal origination for enterprise clients.
The AVP Data Software Engineer will design and develop scalable software solutions, APIs, and services to support the enterprise data ecosystem at Singapore Exchange. The role focuses on cloud-native technologies, automation, and AI-assisted development to deliver data products and self-service access.
The Senior AI Engineer will design and maintain full-stack Python applications for trading surveillance, focusing on building RAG systems, vector stores, and scalable data pipelines using technologies like Kafka, Spark, and cloud data platforms.
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