
Senior Risk Modeler
1 day ago
Overview of the Role:
We seek highly skilled and experienced risk modelers to develop, validate, and implement advanced credit risk models. Successful candidates will leverage their technical expertise in machine learning and AI techniques to enhance the accuracy, efficiency, and interpretability of our risk models.
The ideal candidate will have a strong foundation in statistical modeling, programming languages (Python), and experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). They will also be familiar with regulatory standards (CECL, IFRS 9, Basel II/III) and cloud-based platforms (Azure).
Key Responsibilities:
- Develop, validate, and document complex credit risk models for retail and wholesale portfolios across multiple regulatory contexts.
- Apply AI/ML algorithms to improve prediction power and model performance beyond traditional approaches.
- Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation.
- Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments.
- Collaborate with cross-functional teams to ensure model alignment with business objectives and regulatory expectations.
Required Skills & Experience:
- Minimum 2 years of experience in AI/ML or GenAI model development or validation.
- Master's degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance.
- Professional certifications such as FRM, CFA, CQF, or equivalent are preferred.
- Contributions to open-source AI/ML projects and competitions are beneficial.
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