Modeller

SUMMARY:
Modeller

Are you a skilled financial modeller with a passion for analytics, validation, and risk? Step into a role where your expertise can influence major financial decisions and strengthen model governance across a leading, fast-moving banking environment. If you want to grow, innovate, and be part of a high-impact analytics team — this opportunity is for you.

Join a people-centric, high-energy organisation that believes in empowering individuals through simplified, accessible, and meaningful banking solutions. The culture is driven by teamwork, ownership, and a shared passion for enabling clients to live better financial lives.
This opportunity sits within a specialist Model Validation unit that plays a pivotal role in ensuring models across the business are robust, reliable, and regulatory-compliant. You will work with teams across credit risk, finance, capital, fraud, and data, offering technical challenge and validation assurance on models that guide key decisions.
The environment values collaboration, innovation, and continuous learning — offering structured growth opportunities, strong mentorship, and a workplace where every team member is supported, recognised, and encouraged to reach their full potential.

POSITION INFO:

Key Responsibilities:

• Perform end-to-end model validations across forecasting, stress testing, pricing, IFRS 9, capital modelling, and fraud models
• Build independent challenger models to assess accuracy, performance, and risk
• Evaluate model methodologies, assumptions, governance, and documentation
• Engage with technical and business stakeholders to provide insights, challenge, and recommendations
• Ensure models remain reliable, compliant, and fit-for-purpose in a changing environment

Job Experience and Skills Required:

• Minimum: Degree in Mathematics, Statistics, Actuarial Science
• Ideal: Honours in Data Science, Statistics, Mathematics, or Actuarial Science

• 3–6 years’ experience in financial modelling, including forecasting, stress testing, pricing, capital modelling, or IFRS 9
• Strong exposure to model development or validation environments
• Experience working across multiple model types

• Advanced analytical and quantitative skills
• Strong statistical modelling and coding capability (e.g., SQL, Python, R advantageous)
• High attention to detail and ability to communicate insights clearly
• Collaborative mindset with the ability to work across technical and business teams

• Proven financial modelling experience
• Ability to take ownership of deliverables in a fast-paced environment

Apply now!