Data Governance & Supervision - ERM

Company Description

Natixis is a French multinational financial services firm specialized in asset & wealth management, corporate & investment banking, insurance and payments. A subsidiary of Groupe BPCE, the second-largest banking group in France through its two retail banking networks, Banque Populaire and Caisse d’Epargne, Natixis counts nearly 16,000 employees across 38 countries.

As Natixis Innovation Hub, Natixis in Portugal mission is to transform traditional banking by developing innovative solutions for the bank’s business, operations and work culture, being a key driver of the company’s culture of agility and innovation. Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms.

Job Description

Team presentation and main goal:

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-to-end applications (including visualizations, e.g., with Tableau)

Main tasks and goals:

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-to-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 decision-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 cross-functional teams to design and implement Data and AI-driven solutions, ensuring alignment with business objectives.
• Educate and Advocate for Data & AI: Share knowledge of Data & AI capabilities and benefits with team members and stakeholders, fostering a culture of innovation and data-driven decision-making.
• Support Data Quality Initiatives: Work with teams to ensure high-quality data is available for AI models, contributing to data governance and management efforts.

Qualifications

• Degree in Finance, Computer Science, Statistic (or relevant area)
• Good knowledge of banking activities and products, as well as associated risks
• Fluency in English (mandatory)
• Excellent command of Excel and VBA, as well as Microsoft tools (particularly PowerPoint and Word)
• Very good knowledge of SQL, as well as Python or other programming languages (is desired)
• A first experience with BI tools would be highly appreciated (PowerBI, Tableau, Qlik, etc.)
• 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 autonomy
• Great interpersonal skills that facilitate communication and presentation of work results to decision-makers, along with strong listening abilities

We will only consider English Cv's.

Additional Information

Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. After grabbing a cup of coffee and fresh fruit, pick up your laptop and choose your spot for the day. It's going to be a busy one: French class before lunch and, just after, quick medical appointment at Natixis doctor's office. Lunch break. Outside in the big terrace (look at your crops at the Urban Garden; ready to harvest!) or, if you feel like stretching your legs, walk downtown to grab lunch. 

Back inside. Quick sprint review (working together anywhere means virtual happy birthday to that colleague in Paris that just turned 35). The afternoon went flying (tasks, reports, calls, some jokes with your teammates). End it on a high note: just one PlayStation game or the final match for that ping-pong tournament. 

Tomorrow, you complete that certified technical training and the day after, you will work from home, taking advantage to finally do that online course on Udemy. Once you are done with your tasks for the day, you can visit the office for a board games session or show up at the rehearsal of one of Natixis bands. If that is too steady for you, meet your colleagues to surf some waves or join them in a football match.