To build a more resilient and scalable compliance risk management function at TD Bank US Compliance
Requirements
- Doctorate degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
- Strong statistics knowledge is required
- Experience in development of predictive models using Python
- In-depth knowledge of quantitative models and statistical analysis
- Experience working with AI/ML and Gen AI based models
- Proficiency in Python is required
- Experience working with databases/datasets and data visualization tools (Tableau/Power BI)
Responsibilities
- Develop and review models (traditional regressions, AI/ML and Gen AI based) to ensure fair banking compliance
- Perform quantitative analysis to identify fair lending risks
- Identify potential alternative ways to mitigate fair lending bias arising from models/policies
- Develop specialized analytical tools for projects or ongoing use
- Compile and generate ad-hoc analytical reports
- Lead research efforts, applying expertise in statistical analysis and modeling
Other
- Undergraduate degree or advanced technical degree (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred
- Ability to work in a fast-paced, start-up-like setting
- Entrepreneurial mindset, strong attention to detail, ability to take the lead on projects
- Strong communications skills, both written and verbal
- Strong presentation skills; ability to communicate technical matters in a non-technical way
