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Senior Risk Technology & Automation Specialist
senior · Technology / Software Development
Senior Risk Technology & Automation Specialist
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Job ID111651LocationLU - LuxembourgFull/Part TimeFull-Time
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EIF POSTING
The European Investment Fund (EIF) is seeking to recruit for its Risk Office Department (RO) – Portfolio Risk Management & Surveillance Division at its headquarters in Luxembourg, a Senior Risk Technology & Automation Specialist*. This is a full-time temporary position at grade 5.
Temporary contract:
The EIF offers a CDD contract until the 31 December 2029. As this is a temporary position, no extension or conversion of the contract is foreseen.
*Internal benchmark: Senior Officer
Panel interviews via video-conference are anticipated for September / October 2026
Purpose
Part of the EIB Group, the mission of the European Investment Fund (EIF) is to improve access to finance for SMEs and small mid-caps in Europe. We do this by supporting emerging and established fund managers with equity investments and by designing debt financing instruments that share the risk taken by financial institutions when they lend to or invest in small businesses. We bring this support closer to entrepreneurs through our extensive network of partners and financial intermediaries in all EU Member States and associated countries.
Operating network
The selected candidate will report to the Head of Portfolio Credit Risk Management Unit, who reports to the Head of Portfolio Risk Management and Surveillance Division collaborating closely with colleagues in Risk Office, other EIF services and any relevant services at the EIB.
The Risk Technology & Automation Officer is based in specialized Risk teams and drives efficiency, digitalisation, and innovation within the EIF Risk Office, for Portfolio Credit Risk Management. The role focuses on automating manual processes, integrating various data sources, exploring advanced technologies and leveraging AI to strengthen data governance, improve efficiency, reduce operational risk, and support complex contractual as well as non-contractual reporting and monitoring activities.
The ideal candidate bridges Risk expertise with technology fluency, developing new solutions that are secure, effective and efficient, as well as aligned with internal guidelines, procedures, processes, and standards.
Responsibilities
In your role, you will work on:
Process Automation & Digitalisation
Analyse Compliance & Risk workflows and identify automation opportunities (e.g., RPA, Power Automate, workflow engines).
Design, implement, and maintain automated solutions that reduce manual workload and enhance consistency.
Drive digitalisation initiatives, including data optimization, automation of portfolio credit risk calculations, dashboard and report creation, and process redesign.
AI‑Driven Enhancements
Develop and deploy AI‑powered tools for surveillance, monitoring, reporting, data screening, quality control checking, and performance evaluation.
Collaborate with Compliance & Risk subject‑matter experts to ensure AI outputs meet contractual obligations, procedural guidelines and regulatory requirements.
Set up human‑in‑the‑loop validation processes for GenAI use cases.
Data, Systems & Integration
Build and maintain data pipelines, reports, dashboards, and structured/unstructured data flows.
Ensure seamless system integration (e.g., SharePoint, Copilot, Power Platform, databases, external rating agencies and Bloomberg inputs, Power BI).
Support the enhancement of monitoring systems, data quality control tools, and risk‑parameter calculation engines.
Governance, Controls & Documentation
Provide clear technical documentation: architectures, workflows, test logs, validation procedures.
Ensure adherence to data‑quality principles, information‑security policies, and AI governance requirements.
Monitor technological developments to keep solutions aligned with EU and industry regulatory frameworks.
Stakeholder Collaboration & Change Enablement
Work closely with Risk teams to translate needs into scalable technological solutions.
Foster adoption through training, communication, and user support.
Act as a bridge between Investment Office, IT, Risk Management, Legal, and Data/AI units.
Qualifications
At least five (5) years and no more than ten (10) years of post-graduation (after having obtained your initial university diploma) relevant professional experience at thesame level of responsibility.
University degree, preferably at postgraduate level, preferably in Computer Science, Data Science, Engineering, Business Intelligence, Finance, Economics or Mathematics.
An understanding of Risk Management, more particularly securitisation transactions, credit risk analysis of Small and Medium Enterprises (SME), Consumer and RMBS portfolios and their internal controls.
Experience integrating technology into Risk processes (monitoring and surveillance, reporting, risk analytics).
Behavioural Skills
Find out more about EIBG core behavioural skills here: (Link)
Additional role specific behavioural skills:
Ensures Accountability: Holds self and others accountable to meet commitments.
Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
Communicates Effectively: Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Manages Complexity: Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Financial Acumen: Interprets and applies key financial indicators to make better business decisions.
Plans and Aligns: Plans and prioritizes work to meet commitments aligned with organizational goals.
Tech Savvy: Anticipates and adopts innovations in business-building digital and technology applications
Optimises Work Processes: Knows the most effective and efficient processes to get things done, with a focus on continuous improvement.
Technical Skills
Automation, Data & Systems
Strong expertise in Robotic Process Automation (RPA) and Data ETL & Automation to support portfolio monitoring and risk analytics
Experience in Systems & Process Improvement, including optimisation of credit risk workflows
Ability to build and maintain data pipelines using Data Quality Management & Systems Integration
Strong capabilities in Reporting Skills and Data Visualization for portfolio monitoring, dashboards, and risk reporting
Artificial Intelligence & Advanced Analytics
Practical experience with Artificial Intelligence (AI) and Machine Learning applied to credit risk analytics and portfolio surveillanceAbility to deploy AI-driven tools for performance monitoring, anomaly detection, and risk assessmentFamiliarity with advanced analytics techniques (e.g. NLP, predictive modelling) in financial contexts
Credit Risk & Portfolio Management (Key Differentiator)
Strong understanding of Credit Risk Monitoring and portfolio surveillance framework
Knowledge of securitisation structures and credit risk analysis of SME, Consumer and RMBS portfolio
Experience in risk parameter analysis and monitoring using Risk Reporting and analytical tools
Ability to interpret and integrate risk data into decision-making processes
Risk Governance & Compliance
Good understanding of Regulatory & Compliance Monitoring and relevant Legislation & Regulation
Awareness of internal control principles applied to credit risk processes
Strong knowledge of Data Protection and IT Security in handling sensitive financial data
Application of Data Quality Management & Systems Integration to ensure robustness of risk data
Documentation & Model Transparency
Ability to produce structured documentation aligned with Document Management standards
Experience documenting models, methodologies, data flows, and validation processes
Stakeholder Enablement & Delivery
Ability to translate compliance needs into scalable solutions using Systems & Process Improvement
Strong experience in Training Delivery to support adoption of regulatory tools and processes.
Proven Stakeholder Management and Communication skills across Compliance, Risk and IT.
Microsoft Power Platform tools (Power BI, Power Automate, SharePoint, Copilot).
Data Governance and data lifecycle management
AI regulatory frameworks (e.g. EU AI Act, DORA)
Generative AI and human-in-the-loop validation
Scripting (Python, SQL) for automation
Integration of external data sources for compliance monitoring
Deadline for applications: 25 September 2026
We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity.
Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIF Recruitment team (Recruitment@eif.org) who will ensure that your request is handled.
By applying for this position you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorized disclosure of any information or any damage to the EIB Group reputation.
Candidates are informed that pre-employment integrity screening is an integral part of the EIF recruitment process.
* Due to high volume of applications, only candidates selected for interviews will be contacted.