Credit Risk Modelling Analyst developing predictive models for Very, leveraging advanced analytical techniques. Collaborating cross-functionally to ensure responsible lending decisions.
Responsibilities
Develop predictive models using advanced statistical methods (e.g., logistic regression, XGBoost, neural networks) to empower decisions across the credit lifecycle.
Continuously monitor model performance metrics (e.g Accuracy, Gini, stability), troubleshoot deviations, and report findings to key stakeholders.
Collaborate cross functionally to deploy models and quantify impacts on customer outcomes and commercial value
Research new modelling techniques (e.g. machine learning/AI) and alternative data sources to enhance predictive power and drive value.
Requirements
Talented and ambitious graduates with a degree in a quantitative field such as Statistics, Mathematics, Data Science or a related discipline (we are open to candidates with commercial experience)
Highly intellectual and curious mind with a passion for using data to solve problems.
A proactive and self-motivated attitude with a keen attention to detail.
Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.
Experience in coding with SQL, Python and/or developing statistical models (linear/logistic regression, machine learning etc) is advantageous but not a requirement.
Benefits
Flexible, hybrid working model
Inclusive culture and environment, check out our Glassdoor reviews
£250 flexible benefits allowance to suit your needs
27 days holiday + bank holidays
Udemy learning access
Bonus potential (performance and business-related)
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