Data Quality Officer - Credit Risk

Company Description Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. 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 the entities of Groupe BPCE. The Centre of Expertise, based in Porto, currently has more than 2,400 employees from over 30 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. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem. In 2024, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the second time. This certification recognizes excellence in people practices, following the example of our head office, in France, who was certified Top Employer France for the eight year in a row. Job Description Team presentation and main goal: Within the Risk Division of Natixis, the Data Domain Office Team is part of the Credit Risk department. The Data Domain Office Team ensures the administration of the Risk data. The role of this team is critical in the reconciliation and proper feed of all credit decisions in the credit portal so that transactions can be monitored based on information accurately input and made available in a timely manner. Data Domain team will act on extended-team basis i.e. you will be in daily interactions with your colleagues in Paris as part of this Paris-Porto integrated team. Main tasks and goals: As Data Domain Officer of the Data Domain Office team, you are involved in the operational mandate execution; this mandate main topics being: Improve data quality remediation through AI Be the guarantor of the quality of the Credit Risk data technical processes Be an active stakeholder in the improvements and data quality projects around these processes Contribute to Credit Risk systems’ evolutions actively working with IT Produce deliverables using big data technologies and data visualization tools Qualifications Degree in relevant areas of expertise (Data Science; Computer Engineering; Mathematics; Physics - other areas may be considered if experience is aligned). 1-3 years of exposure to Credit Risk and Capital Markets; Excellent communication skills and ability to convey complex findings to a non-technical audience. Advanced knowledge in Python; Solid understanding of machine learning techniques, statistical concepts, and data manipulation libraries (e.g., Pandas, NumPy). Advanced experience with big data technologies (e.g., Hadoop). Familiarity with data visualization tools (e.g., Power BI). Fluent English mandatory and French is a plus. Good and structured communication (oral / written); Adaptability and curiosity; Capacity to deal with stress and conflict; Team Player; Taste for data processing and data accuracy. We Will consider English CVs. Additional Information At Natixis, we are committed to fostering a working environment where each and every one of our people is treated with dignity and respect and where every voice is heard. Our differences make us collectively stronger and are a source of fulfilment, innovation and performance. In the framework of its Diversity, Equity & Inclusion policy, Natixis in Portugal has implemented a Blind CV Screening process, with the purpose of reducing hiring bias. A blind CV excludes any personal details which refer to the applicant’s gender, age or ethnicity. When applying for our positions, please submit a blind CV, that is, with no picture, name, gender, age, nationality, ethnicity and address. Your personal statement, work experience, courses and certifications, education, skills and contact information is what matters to us. #J-18808-Ljbffr