Manager Data Scientist, Madrid

About Us

At EY wavespace Madrid - Data AI Hub we are a diverse multicultural team at the forefront of technological innovation working with cutting-edge technologies. Our center is dedicated to exploring the future of Data AI combining creativity and technical expertise to develop transformative solutions.

We are looking for a highly skilled and experienced Manager Data Scientist Credit Risk Analytics to join our Tech Consulting practice in Madrid. The ideal candidate will have a strong background in Data Science and Machine Learning with a proven track record in credit risk modelling and business development activities to drive innovative solutions for our clients.

• Lead and manage consulting projects at the intersection of Credit Risk Modelling Data Science and Machine Learning.
• Develop and implement advanced credit risk models to enhance clients risk management strategies.
• Collaborate with cross-functional teams to deliver comprehensive solutions that meet clients business needs.
• Drive business development activities including identifying new opportunities preparing proposals and presenting to potential clients.
• Lead digital transformation projects in the banking industry to drive innovation and efficiency.
• Provide technical expertise and thought leadership in Data Science and Machine Learning to clients and internal teams.
• Hands-on experience of applied statistical models risk analytics credit rating credit and scoring model development estimation of expected credit losses and macroeconomic stress testing.
• Manage and lead international teams ensuring effective collaboration and communication across different regions.
• Mentor and develop junior team members fostering a culture of continuous learning and improvement.
• Stay updated with the latest industry trends and advancements in technology to ensure the delivery of cutting-edge solutions.

• Bachelors or Masters degree in Data Science Computer Science Statistics or a related field.
• Over 7 years of experience in the banking or financial services industry with a focus on credit risk analytics and modelling.
• Proven experience in developing and implementing credit risk models using advanced statistical and machine learning techniques.
• Strong technical skills in programming languages such as Python R SAS and SQL.
• Excellent communication and presentation skills with the ability to articulate complex technical concepts to non-technical stakeholders.
• Demonstrated experience in business development including client relationship management and project sales.
• Strong leadership and team management skills with the ability to inspire and motivate a diverse team.
• Experience in audits of credit risk models (IFRS9) and portfolio monitoring to ensure compliance with regulatory requirements is a plus.
• Proven experience in managing international teams.
• Passionate about economics finance statistics and programming.

• Experience working in a consulting environment.
• Advanced certifications in Data Science Machine Learning or related fields.
• Knowledge of regulatory requirements and industry standards in credit risk management.

If you feel that you are a match please apply by submitting your CV in English.

Python, R, SAS, SQL