Credit Risk Modelling Analyst (Data Science/ML)

TL;DR

Credit Risk Modelling Analyst (Data Science/ML): Design, deploy, and monitor predictive models that empower smarter decisions at every stage of the credit lifecycle with an accent on developing machine learning data driven models used in risk assessment and detecting fraudulent transactions in real time. Focus on using advanced statistical methods (e.g., logistic regression, XGBoost, neural networks) to empower decisions across the credit lifecycle.

Location: Liverpool, England, United Kingdom

Salary: £250 flexible benefits allowance

Company

hirify.global is the team behind digital retailer Very, helping families get more out of life.

What you will do

• 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.

Culture & Benefits

• Flexible, hybrid working model
• Inclusive culture and environment
• 27 days holiday + bank holidays
• Udemy learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on Very.co.uk

Hiring process

• 1st stage - An informal 30-minute video call with the hiring team to discuss your skills and relevant experience.
• 2nd Stage – A one-hour formal interview where you can expect both competency and technical questions (task based) This can be held either in-person or remotely.