Assistant Vice President - Model Development & Governance - Investment Bank

Responsibilities :

- Work with business partners across GWIM to identify, develop and enhance investment and wealth management models

- Translate business requirements to modeling project plans and implement enhancements as needs of business evolve

- Design and prototype quantitative models to address business requirements

- Work with technology partners to Identify tools and platforms to best implement models for business need

- Test, document and provide validation support of models per firm's model risk policy

- Conduct ongoing monitoring, resolution of action items and support other model governance activities

- Interact with stakeholders including model owners/users, Model Risk Management, Compliance, Risk Management to ensure all existing and new GWIM models comply with both regulatory and enterprise model validation requirements including:

- Draft, edit, review technical model documentation across the model inventory

- Design, implement, execute and report results of model testing as appropriate across the model inventory, both as part of on-going monitoring and model validation

- Understand both upstream and downstream model dependencies across the inventory to identify and resolve model related risks

- Maintaining ongoing monitoring requirements for selected models

- Complete MRM Required Action Items assigned by Model Risk Management typically involving enhancements to submitted model documentation and testing

Mandatory Skills:-

- Experience in quantitative roles in investment management, risk management, model validation, wealth management or related.

- Experience in quantitative investment modeling, investment analytics including both classical modeling techniques and AI/Machine Learning

- Experience with and ability to work with large scale data projects

- Knowledge of financial markets, portfolio management concepts, probability theory and statistical/econometric modeling and their application to investment and portfolio management principles.

- Excellent written, verbal communication and interpersonal skills

- Experience in developing and reviewing code in R, MatLab and/or Python used in financial analytics and statistical analysis.

- Ability to multi-task and efficiently negotiate changing priorities and responsibilities