Credit Model Validation Manager (Machine Learning & NPV Models)

Join Monzo, a rapidly growing lending business, as a Credit Model Validation Manager. In this role, you will provide independent validation and oversight across our suite of credit models, focusing on customer-level decisioning and credit strategies. You will lead hands-on validation of models, support oversight of broader credit risk models, and improve our Model Risk Framework. You will also write clear validation reports, partner with first line of defence teams, and embrace new technology.

Assurer la validation indépendante des modèles de crédit, en particulier ceux utilisés pour la prise de décision au niveau client et la définition des stratégies de crédit.

Are passionate about technology, and what we’re doing here at Monzo excites you!

About Monzo

Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge

Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes

Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so being confident using SQL and Python is essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus!

Responsibilities

• Développer une compréhension approfondie des modèles de crédit de Monzo et fournir des contributions impactantes pour améliorer les capacités de modélisation.
• Améliorer le cadre de gestion des risques de modèle, y compris la supervision des politiques, des normes et des procédures pour aider à intégrer les meilleures pratiques.

Requirements

• Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You’ll have hands-on experience in either model validation or model development within a financial services environment, and ideally have in-depth knowledge of credit decisioning models
• Exposure to different modelling techniques, including machine-learning, would be a definite plus!
• Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts
• Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business
• Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to areas such as decision science scorecards (including machine learning models), origination / underwriting PD models, and NPV / unit economics modelling

Pay

GBP 79,000 - 93,000