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

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 actionable insights from large and complex datasets. Conduct exploratory data analysis, feature engineering and model evaluation to ensure the accuracy and reliability of predictive models. Collaborate with multiple teams to identify and prioritize business problems that can be addressed through data analysis and predictive modeling. Work closely with stakeholders to understand business requirements and translate them into data-driven solutions that deliver tangible value. Stay aware of the latest developments in AI, ML and data science, and identify opportunities to leverage emerging technologies and techniques to drive continuous improvement.  Who are you? If you recognize yourself in the following description, you are made to work with us: You have more than three years of experience in a similar role, ideally within a bank or a financial institution. The ideal candidate will have a strong background in data science, artificial intelligence, and machine learning and will play a critical role in developing and implementing advanced analytics solutions to support our business objectives.