Lead Data Scientist: Model Validation

SUMMARY:
If you’re the kind of Data Scientist who gets a kick out of pulling models apart, stress-testing them, and making sure they behave like they should, this one’s going to catch your eye. This is a brilliant opportunity to join a well-known financial services organisation that’s big on innovation, people growth and using smart tech to build better client experiences. They’re pushing hard into advanced AI and machine learning, and they need someone who can help them validate and challenge the models that drive major decisions across the business.

POSITION INFO:
Key Responsibilities:

• Lead and deliver independent model validations across credit, finance, fraud risk and optimization models.
• Provide technical subject-matter expertise on AI and machine learning model review, governance, and risk management.
• Design and implement challenger models using advanced ML techniques.
• Offer mentorship, guidance, and technical oversight to Analysts in the team.

• Honours Degree (Masters preferred) in Mathematics, Statistics, or Data Science.
• 6+ years’ experience in model development within data science, with exposure to model validation or technical reviews.
• Strong background in ML techniques, such as tree-based methods, neural networks, clustering and anomaly detection.
• Experience designing and delivering end-to-end ML projects.
• Comfortable presenting and defending model findings to Developers and senior stakeholders.
• Experience having your own models validated, or validating models directly.
• Solid knowledge of advanced ML and statistical modelling.
• Data mining and predictive modelling skills.

• Actuarial
• Product Development
• Pricing
• Valuations
• Credit Risk
• Market Risk