AI/ML Model Validation Analyst
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Job Description
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
- 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).