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F111 Financial Regulatory Data Scientist

Otc Fin Europe

Gerona

Híbrido

EUR 50.000 - 80.000

Jornada completa

Ayer
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A financial services firm in Cataluña is seeking a Financial Regulatory Data Scientist. The role focuses on developing data-driven solutions that support compliance with financial regulations such as PRIIPs and Solvency II. Candidates should have a strong understanding of regulatory standards and significant experience in programming languages like Python and working with data visualization tools. This position offers the chance to influence regulatory reporting in a dynamic environment.

Servicios

Flexible work model
Continuous learning opportunities
Exposure to leading financial institutions

Formación

  • In-depth understanding of PRIIPs, Solvency II, AIFMD.
  • Familiarity with regulatory templates and data models.
  • Proven experience in designing relational data schemas.

Responsabilidades

  • Develop scalable data pipelines and analytics models.
  • Translate complex regulatory language into actionable documentation.
  • Work closely with client teams to implement solutions.

Conocimientos

Regulatory Knowledge
Programming in Python
Strong analytical skills
Excellent communication skills

Educación

Master's or PhD in Data Science, Finance, Statistics, Economics

Herramientas

Power BI
Tableau
SQL

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.

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