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.
Job Experience and Skills Required :
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.Apply now!
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