Review and analyse Machine Learning and Artificial Intelligence models applied across various business use cases in banks.
Understand the ML or AI models and implementation methods used, where appropriate, verify models and their conceptual soundness, propriety of implementation and assess the assumptions, limitations and weaknesses of the model in context of the business and the control environment surrounding the business.
Communicate outcomes of your review and analysis with key model stakeholders including business stakeholders, model developers and divisional control officers.
Actively engage with the due diligence aspects of the new model approval process and Bank wide strategic initiatives
Work on developing validation methods and automation, where possible.
Your skills and experience
Minimum 6 months - 2 years of experience in the relevant field
Educated to Graduate / Masters level or equivalent qualification/ relevant work experience in a numerate subjects such as Data Science Mathematics, Statistics, Machine Learning, Physics or Engineering
Some experience in a model validation or model development roles - preferably in the AI/ML space.
Excellent mathematical / statistical abilities and an understanding of the platforms like GCP, AWS, AZURE etc.
Experience evaluating or validating Large Language Models (LLMs) and/or their output is an added advantage.
Knowledge of Banking and Financial Industry is an added advantage.
Excellent communication skills, both written and verbal
Ability to author structured and concise validation reports.
Fluent in English (written and spoken).
How we ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs