.Career Opportunities: Credit Risk Model Validation Analyst (35699) What Are We Looking For?
We are currently seeking a Credit Risk Model Validation Analyst with strong analytical and synthesis skills, as well as an interest in working in an international environment, to join our TSB Validation Function Coordination team.
Let's Talk About the Project… Mission Collaborate in the independent validation of statistical models used to measure credit risk in different areas of the organization.
This will be done in accordance with a defined validation framework, standards, and regulatory requirements, providing an independent opinion on the appropriateness of the models, their usage, and the need for corrective measures.
The role also involves coordinating various validation activities across respective teams, including international subsidiaries.
Responsibilities Coordinate the validation of regulatory models across respective teams, including international subsidiaries.
Analyze proposals for new statistical credit risk models to ensure their methodological, performance, and usage adequacy.
Provide a precise perspective on the adequacy of internal models through an independent challenge process.
Assess new model proposals to guarantee they are suitable for their intended use while ensuring compliance with regulatory requirements and the entity's policies.
Propose action plans aimed at improving models, as well as the methodologies used for their estimation and development.
What you need to bring with you?
Required Profile Strong analytical and synthesis skills to draw conclusions from reviewed aspects.
Proactive attitude and ability to tackle new projects.
Precision and organization, with the ability to work autonomously and flexibly.
Strong interpersonal, communication, and negotiation skills.
Interest in working in an international environment and the ability to communicate effectively in English with international collaborators.
Education and Experience Bachelor's degree in Mathematics, Statistics, Physics, Economics, or a related field.
Additional postgraduate studies in Data Science and/or FRM certification or similar are highly valued.
Proficiency in tools like SAS, SQL, or statistical programming languages (R, Python).
English: Advanced level (preferably C1 or C2).
A test will be conducted.
Experience in first-line, second-line, or third-line departments in model development within the banking sector, or equivalent experience in specialized consulting firms.
Essential: experience in areas related to Credit Risk and Capital Management (Basel) within financial institutions.
Knowledge in the area of IFRS9 models will be taken into account.
Experience working in an international environment will be highly valued.
This role offers an exciting opportunity to contribute to the improvement of credit risk management in a dynamic and international setting