Responsibilities
- Control and optimize the credit risk data lifecycle (governance, controls, remediation)
- Ensure alignment with regulatory requirements and internal policies
- Develop and implement solutions for better data exploitation and enhanced risk processes
- Lead and facilitate credit risk monitoring bodies
- 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
Requirements
- More than three years of experience in a similar role, ideally within a bank or a financial institution
- Strong background in data science, artificial intelligence, and machine learning
Work Arrangement
Remote (City/Region) — Porto
