Senior Consultant Credit Risk Modelling – Madrid, Spain

Datatech Analytics
June 24, 2024
Madrid, United Kingdom
Job Type
Job Ref
Competitive depende upon experience, plus bonus and benefits


Senior Consultant Credit Risk Modelling - Madrid, Spain - J12799 - Competitive Salary (DOE)

An exciting opportunity to join an independent consulting firm specialising in finance, risk and strategy and with extensive global experience and industry recognition in the financial services. The role is to strengthen their consulting team with an entrepreneurial and dynamic leader to Manager a team. The opportunity will be to help shape a unique and professional environment with fantastic career opportunities.

Expertise required:-
Minimum of 7 years of experience in Credit risk Modelling or banking and financial services industry
Ideally, knowledge of operational tasks in terms of validation of credit risk models and regulatory requirements related to IRB and IFRS9.
Knowledge of Model Risk management framework and practices
Knowledge of Data Management and regulatory requirements BCBS239, Risk Data Aggregation
Strong analytical skills and quantitative background
Ability to work with coding languages ie Excel, Python, SQL
Strong communication skills and ability to work in a team
Ability to work independently and to quickly familiarise with new topics, understand, structure and derive innovative solutions
Fluent in English and Spanish (C1 level) (incl. the ability to write professional reports) openess to travel in Europe

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:

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