Data Management Consultant

Data Management Consultant – Risk & Regulatory Reporting Finalyse Brussels, Brussels Region, Belgium At Finalyse, for over 35 years, we have supported (re)insurance and banking clients in navigating changes and embracing innovations in valuation, risk management, and regulatory compliance. Our commitment to contributing to a sustainable and resilient financial system drives us every day. We empower our talented consultants to design and implement efficient, pragmatic solutions, fostering a collaborative spirit with partners and clients. Our unique blend of financial and technological expertise has been the cornerstone of numerous successful projects and enduring relationships. We embrace diversity at Finalyse, recognising the unique strengths everyone brings, and we are committed to creating an inclusive working environment that respects diverse beliefs and backgrounds. The Role In an increasingly complex regulatory environment and financial world, shaping state‑of‑the‑art reporting capability and data intelligence is essential to banks’ core business and financial stability. Finalyse embraces this evolution and is committed to maintaining a cutting‑edge approach in its Data Management Advisory services. We are looking for a highly skilled and motivated Data Engineer/Risk Data Analyst to join our team. You will be working on vital and massive finance and risk datasets, designing and building automated, reliable data aggregation solutions to fulfil management and regulatory reporting needs in the banking industry. In this role, you will have a direct impact on bank’s internal and external stakeholders. The ideal candidate will have a strong understanding of risk calculation and reporting and will be able to build data infrastructure that not only meets architectural and data quality standards but, most of all, business requirements that are meaningful for risk managers. Especially, you will assess existing equity risk management process to identify inefficiency and resolve them through technical solution, along with workflow enhancements. Part of the objective will be to develop standardised template to facilitate the calculation and monitoring of Fund of funds exposure, as well as risk metrics associated with layered equity portfolios. Additional responsibilities include: Raise and market Finalyse's image in the financial industry through publications in our Regbrief. Contribute to internal knowledge sharing. Be open to short‑ and medium‑term assignments abroad (e.g., Belgium and/or the Netherlands). Responsibilities Work closely with clients to understand business requirements and help them implement risk data and reporting solutions that are fit‑for‑purpose, ensuring straight‑through‑processing and compliance with regulatory standards, including BCBS 239. Deep dive into details and investigate reconciliation issues with other reporting systems, such as accounting systems or other source systems. Advise clients on how to implement governance policies and procedures. Develop and maintain documentation for all data‑related processes, including data lineage, data dictionary, and metadata. Stay up‑to‑date with the latest trends and technologies in data infrastructure and data governance and implement them where applicable. Work with tools and platforms commonly used in institutional risk environments, including Alteryx, SAP Business Objects, and platforms comparable to eFront, contributing to dashboard development, risk metric validation & monitoring as well as fund risk scoring. MUST‑HAVE REQUIREMENTS MA or MSc in management sciences, applied economics or computer sciences. At least 5 years of experience in data engineering within financial institutions or a related field, with a strong understanding of banking business and financial products, including equity & debt products. Strong technical skills including proficiency in Python for data transformation and analytics, SQL for portfolio data extraction, and Excel VBA for automation of manual review processes. Delivered interactive reporting solutions using both Power BI and Tableau. Experience quantifying risk across multi‑layered investments (fund‑of‑funds, co‑investments). Experience in design and logic validation of fund risk scoring methodologies and implementation through internal platforms (analogous to eFront). Outstanding analytical skills. Familiarity with BCBS 239 and its requirements for data governance, data quality, and risk management. Ability to act as a bridge between business and IT stakeholders. Ability to work autonomously in a result‑oriented environment. Fluent in English (both verbal and written) and strong presentation skills. NICE TO HAVE Knowledge of data modelling methodologies and techniques for data warehouses and data marts. Proficiency in data modelling and management tools such as PowerDesigner, Visio and Collibra. Understanding of risk calculation (especially credit risk) and reporting processes. Knowledge of European risk regulation (CRR2, CRR3, Basel IV). First‑hand experience with Agile ways of working. WHY FINALYSE A meaningful role and mission contributing to the stability and responsible innovation of the financial sector. A diverse, multinational team of talented specialists and senior experts, committed to sharing knowledge, supporting each other, and driving collective success. A clear and flexible career path, with the freedom to shape your own specialization and grow quickly in a flat, agile organization. Personalised development through tailored technical training, recognised certifications, and continuous learning. A healthy work culture and environment that values wellbeing, work–life balance, and sustainable consulting practices. Flexible ways of working with hybrid/remote options, trust‑based autonomy, and openness to part‑time arrangements. A competitive compensation and benefits package, including healthcare, pension, and sustainable mobility options. International exposure and opportunities to travel and work with clients and colleagues across Europe and beyond. Innovation and thought leadership opportunities, including internal initiatives, research groups, and access to modern tools and structured methodologies. #J-18808-Ljbffr