Vice President - Model Risk Management - BFS

- Hands-on experience with Statistical Modeling/Machine Learning/Deep Learning techniques is must.

- Well-versed in programming languages like R/Python/SAS and be familiar with Deep Learning Frameworks like Tensorflow/Pytorch.

- Knowledge of financial instruments and financial risk/operational model risk management principles is must.

- Ability to understand and implement techniques discussed in AI research papers (academic and technical).

- Understand the core methodology in solutions and the context in which it will be deployed so as to find risks/gaps

- Communicate with Model Risk Management group to understand and address Bank's risk management needs

- Develop efficient methodologies to detect and to quantify risks/gaps in modeling solutions, especially AI/ML

- Monitor metrics for out-of-tolerance breaches

- Look for unexpected risks / unintended consequences of an AI solution over its life cycle

- May oversee work of junior team members in same area of focus