Model Validation Consultant

• University degree in Mathematics, Physics, Computer Science, Engineering, or related technical fields.
• Minimum 2 years of experience in developing and managing data solutions, preferably in Big Data environments.
• Advanced proficiency in Python and Apache Spark for distributed processing.
• Strong knowledge and experience in SQL for handling and analyzing large volumes of data.
• Proficient in MS Office.
• High level of English.
• Ability to work in a team, adapt to new methodologies, and dynamic environments.
• Analytical mindset focused on problem-solving.
• Experience in statistical model development is desirable.
• Flexibility to work under pressure and meet quality standards.
• Initiative, adaptability, and leadership skills.
• Good communication and organizational skills.

• Experience with Docker.
• Previous experience at Big4 consulting firms or similar companies.
• Specific training in data-related fields, compliance, or financial sectors.
• Additional languages besides English.
• Flexibility to work under pressure and meet quality standards.
• Initiative, adaptability, and leadership skills.
• Good communication and organizational skills.
• Proactive and empathetic profile.

At EY GDS Spain, you will collaborate with our teams on exciting projects and work with well-known brands worldwide. You will be introduced to a constantly expanding ecosystem of people, learning, skills, and knowledge that will accompany you throughout your career.

• Continuous learning: You will develop the mindset and skills needed to face what comes next.
• Transformational leadership: We will provide you with the ideas, training, and confidence to become the leader the world needs.
• Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs.

We are currently looking to hire a Senior Consultant specialized in statistical model development for financial risk management to join our Risk Consulting practice.

You will be part of a multidisciplinary team, actively participating in the validation and development of statistical models for financial institutions, contributing to strategic decision-making based on risk analysis.

• Development of financial risk statistical models in the banking sector through programming and execution in Python environments, especially Databricks and Apache Spark.
• Processing of large databases, data cleaning, and analytics
• Effective communication with clients and multidisciplinary teams to manage needs and expectations.