Jobs at Luminor Bank

Execute KYC, EDD and OEDD processes to meet quality targets. Conduct periodic customer/account reviews, liaise with relationship managers, document findings, recommend improvements, and support team performance and training.

Lead requirements engineering and stakeholder engagement to translate business and data needs into technical specifications. Analyze data, define data mappings and business rules, support delivery teams, prioritize backlog, and ensure successful implementation and continuous improvement across the domain.

Lead requirements engineering, gather and analyze business and data requirements, produce data mappings and business rules, support data quality and metadata activities, coordinate with data engineering and IT to prioritize backlog and deliver features, and engage stakeholders across the domain to ensure successful implementation and improvements.

Elicit, document and manage functional, non-functional and data requirements for a banking domain. Analyze data, create data mappings and transformation rules, align requirements to technology roadmaps, support delivery teams and Data Stewards, prioritize backlog, and engage stakeholders to ensure successful solution implementation and continuous improvement.

Lead a team building and automating bank risk models (stress testing, macroeconomic, economic capital). Own the stress testing framework and regulatory exercises (EBA/SSM), drive automation using Power BI/Power Automate, support cloud migration of data/models, embed ICAAP outputs into business steering, and advise stakeholders as subject-matter expert.

Lead a team developing macroeconomic, stress-test and economic capital models, own the bank's stress-testing framework, run regulatory exercises, automate risk reporting with Power BI/Power Automate, migrate models/data to cloud, and embed ICAAP outputs into business steering.

Lead a team developing macroeconomic, stress test and economic capital models, own the bank's Stress Testing Framework, run regulatory stress test exercises, automate risk reporting with Power BI/Power Automate, support cloud migration of models/data, embed ICAAP outputs into business steering, and advise stakeholders across the organization.

The Data Scientist (Risk Modeller) will develop and maintain Credit Risk models, lead the model monitoring framework, and communicate insights clearly. Requires expertise in statistical techniques and hybrid working flexibility.

The Data Scientist (Risk Modeller) role involves leading Credit Risk modelling efforts, developing and maintaining models, monitoring model performance, and converting data into credit insights. Strong experience in financial risk analysis and coding in R/Python is essential.

The Data Scientist (Risk Modeller) will develop and maintain Credit Risk models, lead monitoring framework, and communicate insights effectively to the business team.

As a Compliance Officer, you will analyze suspicious activities, report to the FIU, guide investigations, and provide training on compliance risks.

The Senior Software Engineer will develop cloud-native card systems using Kotlin, ensuring compliance with banking standards and high performance.

The Senior System Analyst will translate business needs into technical requirements, support backend service integration, analyze system dependencies, and document specifications. They will collaborate with cross-functional teams and ensure compliance with security and regulatory needs.

As a Senior System Analyst, you will gather requirements, support backend service integration, analyze system dependencies, and ensure compliance across solutions.

The Senior System Analyst will translate business requirements into technical needs, design backend service integrations, analyze workflows in microservices, and ensure compliance across solutions, while participating in Agile development.

Develop and enhance card issuing and payment solutions, focusing on cloud-native applications and ensuring compliance with banking standards.

As a Senior Software Engineer, you'll design and develop card systems, collaborate on cloud-native applications, ensure compliance, and maintain code quality.

The analyst will perform risk reports, support risk framework development, conduct investment risk analysis, and manage ESG risks for pension funds.

As a Mid/Senior Data Engineer, you will design and implement systems for data ingestion and processing, build data architectures, develop modern ETL/ELT pipelines, ensure data quality, and collaborate with various stakeholders within a cross-functional Agile team.

The Financial Data Systems Specialist will manage financial data processes, ensure database performance, collaborate for system integrity, and troubleshoot issues during reporting cycles.