Position Overview We are seeking a Financial Regulatory Data Scientist with deep domain knowledge of European financial regulations such as PRIIPs, Solvency II, AIFMD, SFDR, UCITS, and other ESG and risk-related frameworks. This individual will play a pivotal role in translating regulatory requirements into robust data models and analytics, supporting our clients in understanding, complying with, and optimizing their regulatory reporting and disclosures. * You will be responsible for interpreting new and evolving financial regulations, developing data-driven solutions, and advising clients on technical and strategic questions related to compliance, reporting automation, and impact analysis. Key Responsibilities Regulatory Expertise & Advisory * Serve as a subject matter expert (SME) on financial regulations including PRIIPs KID, Solvency II QRTs, AIFMD Annex IV, SFDR PAI indicators, and other regulatory standards. * Monitor changes in the regulatory landscape (EIOPA, ESMA, ECB, EU Taxonomy, etc.) and proactively assess their data implications. * Provide timely responses to client inquiries regarding regulatory interpretation, data requirements, and implementation best practices. * Translate complex regulatory language into actionable, technical documentation and data models. Data Science & Technical Implementation * Develop scalable data pipelines, transformations, and analytics models that support regulatory reporting. * Design and maintain structured data models for KID generation, SCR calculations, SFDR PAI indicator aggregation, etc. * Build APIs and integration layers with client systems and regulatory platforms (e.g., EIOPA, ESMA portals). Client Support & Collaboration * Work closely with client risk, compliance, and IT teams to implement solutions that meet both regulatory and business needs. * Prepare clear technical documentation and conduct workshops or training sessions for end-users. * Collaborate with internal product, legal, and technology teams to enhance the firm’s regulatory solutions platform. Required Qualifications Regulatory Knowledge * In-depth understanding of at least three of the following: PRIIPs, Solvency II, AIFMD, SFDR, UCITS, MiFID II, EMIR, EU Taxonomy. * Familiarity with regulatory templates (EIOPA QRTs, Annex IV, EMT/EPT, ESG templates) and their data models. Technical Skills * Programming: Python (Pandas, NumPy, Scikit-learn), SQL, R optional. * Data Tools: Power BI, Tableau, Excel PowerQuery; familiarity with Dataverse or Azure Data Factory is a plus. * API/Data Integration: Experience with REST APIs, JSON/XML formats, and integration tools. * Data Modeling: Proven experience designing relational data schemas aligned with regulatory reporting needs. Other Skills * Strong analytical and problem-solving capabilities. * Excellent written and verbal communication skills. * Ability to simplify and explain technical and regulatory concepts to business stakeholders. Preferred Qualifications * Master’s or PhD in Data Science, Finance, Statistics, Economics, or related field. * Professional certifications (e.g., CFA, FRM, CAMS) or regulatory diplomas (e.g., EFFAS ESG Analyst). * Experience working in regulatory compliance for financial services, asset management, or insurance sectors. What We Offer * Opportunity to work at the intersection of regulation, finance, and technology. * Exposure to leading financial institutions and their compliance strategies. * Dynamic and intellectually curious environment with continuous learning opportunities. * Flexible work model and international client projects.