Data Governance Analyst Porto

Company Description

Natixis in Portugal is a Centre of Expertise with the mission to transform traditional banking by developing solutions for Groupe BPCE’s businesses, operations and work culture worldwide, driven by an innovation mindset, in a financial tech ecosystem. Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for Groupe BPCE entities. The Centre of Expertise, based in Porto, currently has more than 2700 employees from 40 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. Natixis in Portugal is the International Competence Centre (with an export orientation) which employs the largest number of people in the Porto district. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide. In 2025, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the third time.

Job Description

Within the Risk Direction, in the "Enterprise Risk Management" (ERM) Department, the DG&S (Data Governance & Supervision) team is responsible for the overall coordination, supervision of governance, controls, and all BCBS 239 processes, as well as defining and implementing the Data strategy and managing the AI initiatives across all relevant applications and scopes. The team is also in charge of communication with the ECB, the BPCE Group, and senior management. We are looking for a junior candidate to join our team as a Data Developer and Analyst, with knowledge and enthusiasm for new technologies within the AI and the broader IT area, banking risks, regulations, and the field of Data. The ideal candidate should also possess advanced programming skills, particularly in VBA and Python, and ideally have a solid experience in developing
-
- end applications (including visualizations, e. g. , with Tableau).

Responsibilities

• Develop and maintain data analysis solutions that incorporate business and operational aspects.
• Utilize new technologies to improve existing processes and solutions.
• Program in Python/VBA/SQL for the creation of
  -
  - end applications.
• Apply theoretical knowledge of banking risks and regulations in the context of data analysis.
• Contribute to the implementation of Data solutions to meet the needs of business teams.
• Research and analyse potential AI applications within the organization, identifying opportunities to leverage AI for enhanced data analysis and
  - making.
• Facilitate stakeholder communication: Act as a liaison between technical teams and business stakeholders to ensure a clear understanding of AI initiatives and their implications.
• Collaborate with
  - functional teams to design and implement data and AI-driven solutions, ensuring alignment with business objectives.
• Educate and advocate for data and AI: Share knowledge of data and AI capabilities and benefits with team members and stakeholders, fostering a culture of innovation and
  - driven
  - making.
• Support data quality initiatives: Work with teams to ensure
  - quality data is available for AI models, contributing to data governance and management efforts.

Qualifications

• Degree in Finance, Computer Science, Statistics (or relevant area).
• Good knowledge of banking activities and products, as well as associated risks.
• Fluency in English (mandatory).
• Excellent command of Excel, VBA, and Microsoft tools (particularly Power
  Point and Word).
• Very good knowledge of SQL, and Python or other programming languages.
• Experience with BI tools (Power
  BI, Tableau, Qlik, etc. ) is highly appreciated.
• Good theoretical knowledge of banking risks and regulations.
• Basic knowledge of banking regulations and BCBS 239 principles.
• Strong analytical skills, rigor, excellent written and oral presentation abilities, and autonomous.
• Great interpersonal skills that facilitate communication and presentation of work results to decision‑makers, along with strong listening abilities.