MANAGER DATA SCIENTIST - CREDIT RISK ANALYTICS AT EY WAVESPACE DATA & AI HUB

Job description Requisition ID.
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.
Key Responsibilities.
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.
Qualifications.
Bachelor's or Master's 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.
Preferred Qualifications.
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.