Data Quality Scientist - AI & Innovation (Credit Risk) | Risk

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. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas – Corporate & Investment Banking and Asset & Wealth Management – as well as transversal services that support all entities across the Group. With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. 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. Contribute to the performance of the Natixis Credit Risk Department as a Data Quality Scientist – AI & Innovation within the Credit Risk Monitoring (CRM) team. You will work within an international team (Paris/Charenton and Porto) whose objectives are: Data Governance & Quality: Control and optimize the credit risk data lifecycle (governance, controls, remediation). Regulatory & Internal Compliance: Ensure alignment with regulatory requirements and internal policies. Automation & Innovation: Develop and implement solutions for better data exploitation and enhanced risk processes. Committee Coordination: Lead and facilitate credit risk monitoring bodies. You will play a key role in mastering credit risk and respecting reference frameworks. Your missions will be to: Utilize AI techniques to develop innovative solutions for optimizing business processes, enhancing customer experiences, and driving strategic decision-making. Design, develop, and implement machine learning models and algorithms to extract