Senior Data Scientist
hace 2 días
Ebury is seeking a highly skilled Data Scientist to join our Analytics team in Madrid, Spain. As a Senior Data Scientist, you will play a key role in driving innovation in credit risk modelling, leveraging advanced machine learning techniques and Python in a GCP environment to optimise decision-making and risk assessment.
Key Responsibilities- Drive innovation in credit risk modelling by identifying opportunities for improvement, experimenting with new methodologies, and continuously refining models to enhance accuracy and performance.
- Lead the development of predictive models for Credit Risk and Lending, using advanced machine learning techniques and Python in a GCP environment to optimise decision-making and risk assessment.
- Leverage Large Language Models (LLMs) to process and analyse unstructured data, enhancing insights and improving credit risk modelling processes.
- Collaborate with Data Engineers and Data Analysts to design, build, and deploy scalable data solutions, ensuring seamless integration of models into production and effective delivery to business stakeholders.
- Mentor and guide junior Data Scientists, providing technical leadership, reviewing code and models, and fostering their growth and development within the team.
- Advanced proficiency in Python and experience with machine learning libraries, specifically for building predictive models in Credit Risk and Lending.
- Solid understanding of statistical methods and econometric models, with the ability to interpret model results and assess their performance.
- Excellent communication and collaboration skills, with the ability to work closely with data engineers, analysts, and business stakeholders to translate complex data insights into actionable business strategies.
- Problem-solving and critical-thinking mindset, with the ability to innovate and drive improvements in the credit risk modelling domain.
- Leadership and mentoring abilities, demonstrated through experience guiding junior data scientists, providing feedback on models and code, and leading data-driven projects.
- Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, AI Platform, and Cloud Functions, for deploying scalable data solutions.
- Strong knowledge of Credit Risk modelling techniques, including probability of default (PD), loss given default (LGD), and exposure at default (EAD), and other risk-related methodologies.
- Expertise in leveraging Large Language Models (LLMs) for processing unstructured data, such as text analysis and sentiment analysis, to enhance risk assessment and decision-making.
- Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources.
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. We are headquartered in London and have more than 1700 staff with a presence in over 25 countries worldwide. We believe in inclusion and stand against discrimination in all forms. We are Open Source friendly and follow Open Source principles in our internal projects and encourage contributions to external projects. We offer a competitive salary, continuous professional growth, and a range of benefits to meet your needs. If you are passionate about data science and want to be part of a dynamic and challenging environment, please submit your application on our careers website directly, uploading your CV / resume in English.
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