TD Bank is seeking a Data Scientist II to perform quantitative analysis, model development, and model review to ensure fair banking compliance and meet business requirements.
Requirements
- Strong statistics knowledge is required
- Demonstrated 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)
- Doctorate degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
- Research experience is a plus
Responsibilities
- Develop/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
- Provide advisory support to line of business model owners regarding best practices for compliance guided by policies and industry standards/methods
Other
- Undergraduate degree or advanced technical degree (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred
- Past relevant work experience is a plus
- Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
- Strong communications skills, both written and verbal
- Domestic Travel – Occasional
