LS Central application specialist

For our Client from banking sector we are looking for Network SPOC role. Description:The consultant will act as a Network Segmentation Single Point of Contact (SPOC) within the DORA MSI Network Segmentation programme and serve as the primary interface between the programme and Application Owners (AOs), Application Providers (APs), and Application Teams.Key responsibilities include: Drive stakeholder engagement and alignment to ensure successful adoption and implementation of network segmentation controls across assigned applications and services. Communicate DORA regulatory requirements, programme objectives, implementation timelines, and expected business outcomes to relevant stakeholders. Coordinate the identification, documentation, validation, and analysis of application communication flows, dependencies, and connectivity requirements needed for segmentation design and implementation. Facilitate workshops and working sessions with business and technical stakeholders to validate application connectivity, business requirements, and implementation readiness. Collaborate closely with Network Engineers, Security Architects, Infrastructure Teams, Risk Management, and Application Teams to define and implement segmentation solutions. Coordinate the development and execution of application-specific segmentation plans, including milestones, implementation activities, dependencies, risk mitigation actions, and stakeholder approvals. Monitor delivery progress, risks, issues, dependencies, and compliance status, ensuring timely escalation of blockers impacting implementation. Support preparation and review of Solution Design Documents (SDDs), firewall rule changes, network segmentation rulesets, governance artefacts, and implementation documentation. Ensure adherence to cyber security standards, network segmentation principles, change management requirements, operational resilience objectives, and DORA regulatory expectations. Provide regular status reporting on implementation progress, risk reduction achievements, outstanding issues, and delivery metrics to programme governance forums and senior stakeholders. Requirements: Minimum 5+ years of experience in IT project delivery, cyber security programmes, infrastructure transformation, network security, or operational resilience initiatives within a large enterprise environment. Strong stakeholder management and communication skills with proven ability to engage senior business stakeholders, Application Owners, technical teams, and external partners. Experience leading complex cross-functional initiatives involving multiple stakeholders, dependencies, and governance requirements. Strong understanding of network security concepts, including: Network Segmentation, Firewall technologies, Network communication flows, Application connectivity, Least Privilege principles, Security Zones and Trust Boundaries Experience facilitating workshops, requirements gathering sessions, and delivery planning activities. Ability to analyze technical and business requirements and translate them into actionable implementation plans. Experience managing risks, issues, dependencies, and delivery reporting in large-scale regulatory or transformation programmes. Strong written communication skills, including preparation of governance materials, implementation plans, and executive-level status reporting. Ability to work independently, drive activities proactively, and coordinate multiple workstreams simultaneously. Contact person: mateusz.jozefiak@eworkgroup.com Please note there is posibility to prolongate the cooperation for the next work orders.

We are looking for a Modernization IT Developer for our client in the financial industry R Script Upgrade (R → 4.5.1) You will be responsible for assessing and upgrading existing R scripts to ensure compatibility with R version 4.5.1. Responsibilities: Inventory and assess existing R scripts for compatibility with the target R version. Refactor and update scripts to meet the requirements of the target R version. Update and test package dependencies to ensure compatibility. Conduct regression testing to verify that existing functionality is maintained. Document all changes, updates and identified compatibility issues. Required Skills: Strong experience with R programming. Familiarity with changes between R versions and their impact on existing scripts. Experience with package management tools. Experience with unit testing and regression testing. Server & Environment Configuration (Our Clients Environment) You will be responsible for configuring and setting up the new server and database environment within our customer's infrastructure. Responsibilities: Install and configure the R environment on new servers. Set up and test database connections. Configure environment variables and system parameters. Collaborate with our customer's IT, infrastructure and business teams. Document all configurations and setup procedures. Required Skills: Experience with Windows Server environments. Familiarity with database connectivity between R and Microsoft SQL Server Analysis Services (SSAS). Understanding of networking and security practices in enterprise environments. Ability to work within strict security requirements, particularly in the financial sector. Contract start: 2 November 2026 Contract end: 15 Jnauary 2027 Location: Denmark (Finland, Sweden, Norway or Denmark ) partial remote work is possible. The preference would be for the consultant to come to the office approximately once a week, with flexibility to work remotely otherwise. For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immediately.

We are looking for a team of 3 or 4 experienced AI Model Validation Specialists to support the independent validation of AI agents transitioning from prototype to production for our client in the financial sector. This role will play a critical part in ensuring that AI solutions meet governance, risk, and compliance requirements before production approval. Description of the Role The consultants will provide independent model risk validation (MRV) services for a portfolio of AI agents scheduled for production deployment during the first half of 2027. Working alongside AI, governance, and risk stakeholders, the consultant will assess model performance, documentation quality, data readiness, and regulatory compliance. The engagement will support a phased validation approach as solutions reach varying levels of readiness. The consultant will help mitigate delivery risks by ensuring timely and robust validation outcomes for priority AI initiatives. Responsibilities Conduct independent model risk validation reviews of AI agents before production release. Assess model design, methodology, performance, controls, and documentation against established validation standards. Evaluate data quality, data lineage, and supporting evidence required for model approval. Provide risk assessments, challenge findings, and recommendations to address identified gaps. Support a phased validation process, accommodating multiple submissions with varying readiness timelines. Work closely with stakeholders across AI, governance, risk, and Financial Crime Prevention functions. Qualifications Proven experience in model risk validation, model governance, or model risk management within regulated environments. Strong understanding of AI/ML models, validation methodologies, and model lifecycle controls. Experience reviewing documentation, datasets, and evidence packages for model approval processes. Knowledge of risk, compliance, and governance requirements related to AI deployment. Experience within Financial Crime Prevention, financial services, or other highly regulated industries is highly desirable. Excellent stakeholder management and communication skills, with the ability to challenge constructively and provide clear validation outcomes. Start date: 01.01.27 End date: 30.04.27 Location: Europe For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immediately.

Helsinki

🔹 Lead Risk Model Specialist – Financial Crime Prevention Models 🔹 Location: Stokholm, Copenhagen, or Helsinki. 3 days from the office. Role Summary We are looking for an experienced Lead Developer to own the development, validation, and governance of transaction monitoring models within a Financial Crime Prevention / AML function for a major Nordic banking client. This role combines deep model risk expertise with hands-on analytical work, balancing rigor and practical constraints while driving model governance forward within the Transaction Monitoring Unit (TMU). Key Responsibilities: Own the development and validation of transaction monitoring models, with a focus on model documentation, model review, and model governance Drive model governance activities within TMU, including validation assessments and implementation of 2nd line feedback Set and execute the direction for model development and experimental design, finding the right balance between analytical rigor and practical constraints Document model design and outcomes, iterating with the analytics team to ensure accuracy, completeness and analysis of model assumptions, limitations and weaknesses Provide hands-on support for prototyping tests and analytical methodologies Mentor, uplift and collaborate within the analytics team to design, test, and implement model SOPs (e.g. data lineage/governance, tuning and calibration, monitoring of model operations and outcomes) Represent the organisation with a high degree of professionalism in collaboration with external and internal stakeholders Required Skills and Experience Extensive experience in model risk management, model governance, and validation Strong background in data science, statistics and quantitative methods Experience in academic or technical writing, particularly in the context of model documentation Advanced degree in a quantitative field, e.g. Computer Science, Actuarial Science, Statistics, Mathematics, or equivalent Strong analytical and problem-solving skills Excellent communication, presentation and stakeholder management skills Organised, structured and professional, able to take initiative and work proactively under own direction Assertive communication with the ability to set direction and achieve results in a dynamic, changing environment Nice to Have Experience in Financial Crime/AML, e.g. transaction monitoring and technology suppliers Transaction monitoring platforms such as Quantexa Experience as a model validator or quantitative risk analyst Contact person: nicola.urbanska@eworkgroup.com Client code: BN01, MM03, MO02