Quantitative Analyst

You will be independently validate highâimpact models across credit risk, financial crime, and advanced analytics use cases. This is a handsâon technical role.

What You'll Be Doing

• Independent validation of machine learning models across:
  • Credit risk models
  • Propensity and behavioural models
  • Financial crime models (fraud and AML)
• Applying advanced ML techniques, including:
  • Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
  • Unsupervised learning (clustering, isolation forests)
• Managing model risk across the endâtoâend model lifecycle, including:
  • Feature engineering and data preparation
  • Model training, evaluation, and selection
  • Production deployment and monitoring
• Building and reviewing models in Pythonâbased environments
• Partnering closely with Risk, Technology, and Business stakeholders
• Ensuring models meet governance, performance, and scalability standard

What We Are Looking For

• 58 years relevant experience
• Strong handsâon experience building machine learning and data science models endâtoâend
• Proven use of techniques such as:
• Boosting algorithms (XGBoost, CatBoost)
• Neural networks
• Clustering and anomaly detection
• Advanced proficiency in Python
• Solid experience with SQL and working with large, complex datasets
• Experience within credit risk, propensity modelling, or financial crime analytics
• Experience with independent validation of models and/or detailed peer review
• Proven experience researching machine learning model

Qualifications

• Honours or Masters degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative fiel

Preferred/ Ideal

• Experience deploying or supporting models in cloud environments
• Exposure to credit risk modelling, scorecards, or IFRSârelated analytics
• Financial crime (fraud or AML) modelling experience
• Experience designing models with scalability and deployment in mind
• Familiarity with model risk, governance, or validation standard

What's in it for you?

• Work on highâimpact, real-world models used across the industry.
• Exposure to a wide variety of models, not just one product or portfolio
• Learn from experienced quantitative leaders in a collaborative environment
• Be part of a fast-growing organisation that values simplicity, transparency, and ownership
• Competitive rewards, learning opportunities, and long-term career growt

Conditions of Employment

• Clear criminal and credit record

Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.