CCB Risk Program Associate

What you'll do

• Design predictive and generative AI models for fraud across acquisition, account management, transaction authorization, and collections.
• Apply advanced machine learning, deep learning, transformers, and LLMs to business challenges and deploy solutions to production.
• Collaborate with risk, technology, model governance, research, and senior management throughout the modeling lifecycle.

What they ask for

• Ph.D. or Master’s degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering.
• 5+ years' experience creating predictive models and generative AI solutions using LLM prompt engineering.
• Hands-on experience with LLM APIs and Python libraries for data manipulation, modeling, and analysis.
• Knowledge of advanced ML algorithms, model interpretability and explainability, and responsible model deployment.

Nice to have

• Cutting-edge Gen-AI research experience.
• Production ML deployment experience; distributed cloud computing experience and GPU experience are also noted.

Pay

USD 135,000.00-$165,000.00 base salary

Tools

LLM APIs, Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Spark

AI focus

Computer vision, image understanding, visual anomaly detection, synthetic data and image generation, multimodal AI, and GenAI-enabled workflows for fraud modeling; includes LLM fine-tuning, prompt engineering, safeguards, monitoring, and auditability.