Natixis in Portugal is fully integrated in the global organization of Natixis, a French multinational financial services firm specialized in Asset & Wealth Management, Corporate & Investment Banking, Insurance and Payments. A subsidiary of Groupe BPCE, Natixis counts nearly 16.000 employees across 38 countries.
Based in Porto, Natixis Centre of Expertise mission is to transform traditional banking by developing innovative solutions for the bank's business, operations and work culture worldwide, as 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.
Natixis in Portugal is the best combination of a "start-up mindset" with a large, solid structure. Its unique culture gives true meaning to a "beyond banking" personality: to be a real entrepreneur, self-challenging, ever striving to excel and go that extra mile.
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 my 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 w/ stress and conflict; Team Player; Taste for data processing and data accuracy. We Will consider English Cv's.
