The company is looking to identify, assess, and address modeling risks and associated concerns to foster a culture of integrity, ethics, and compliance.
Requirements
- Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
- Experience with/knowledge of methods, techniques and tools to support model explainability and bias/fairness assessments
- Ability to stay abreast of developments in advanced modeling
- Programming languages (e.g. Python)
- Data mining and the application of data science
- Enterprise frameworks or methodologies that relate to activities for business area
- Data infrastructure and data science solutions
Responsibilities
- Conduct research on how to identify, assess, and address modeling risks and associated concerns
- Support the development of technical standards and guidelines covering model risk matters
- Evaluate model development procedures and practices
- Develop training materials and guidelines to help businesses address regulatory compliance throughout the model lifecycle
- Maintain up-to-date knowledge of techniques and developments in the field of advanced modeling
- Review use cases across TD, and build a close working relationship with business units across the Enterprise
- Support compliance risk management associated with models used by TD
Other
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- 5+ year of relevant experience
- Excellent verbal and written communication skills
- Ability to influence people and deal with conflicting points of view
- Comfort representing Compliance in executive-level initiatives and meetings
- Domestic Travel – Occasional
- Work effectively as a team to peer review other team member model reviews and share knowledge
