VYL-782 - Financial Regulatory Data Scientist

Otc Fin Europe; Vitoria; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A financial services consulting firm in Vitoria is seeking a Financial Regulatory Data Scientist to apply domain knowledge of European financial regulations. You will develop data-driven solutions for clients to ensure compliance and optimize regulatory reporting. The role requires strong programming skills and familiarity with regulatory frameworks like PRIIPs and Solvency II. Join a dynamic environment that fosters continuous learning and offers flexible working arrangements.

Servicios

Flexible work model

Continuous learning opportunities

Exposure to leading financial institutions

Formación

• Deep understanding of PRIIPs, Solvency II, AIFMD, and other regulations is essential.
• Proven experience in designing relational data schemas.
• Ability to communicate complex concepts clearly to stakeholders.

Responsabilidades

• Serve as an SME on financial regulations and data implications.
• Develop scalable data pipelines and analytics models for reporting.
• Collaborate with client teams to implement regulatory solutions.

Conocimientos

In-depth understanding of financial regulations

Strong analytical capabilities

Excellent written and verbal communication

Experience with REST APIs

Educación

Master’s or PhD in Data Science, Finance, or related field

Herramientas

Python (Pandas, NumPy, Scikit-learn)

SQL

Power BI

Tableau

Excel PowerQuery

Descripción del empleo

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.