TD Bank is looking to build a more resilient and scalable compliance risk management function, and the Data Scientist II will play a key role in reshaping compliance structures and processes, driving innovation at every level, and detecting potential fair lending risks in business practices.
Requirements
- Master or doctorate degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
- Strong statistics knowledge is required
- Demonstrated experience in development of predictive models using Python, SAS or R
- In-depth knowledge of quantitative models and statistical analysis, Experience working with AI/ML and Gen AI based models
- Proficiency in Python, SAS or R is required
- Experience working with databases/datasets and data visualization tools (Tableau/Power BI) is a plus
Responsibilities
- Understand the business needs and convert business requirements to technical solutions
- Develop and manage end-to-end statistical analyses on TD products to ensure fair banking compliance
- Take the advantage of available intelligent tools to develop documentation pipelines to efficiently and effectively produce and document complete analytical deliverables
- Perform quantitative analysis to identify potential fair lending risks in business practice
- Develop specialized analytical tools for projects or ongoing use
- Compile and generate ad-hoc analytical reports and presentations
- Work with multiple cross-functional teams or projects with significant complexity
Other
- Undergraduate degree or advanced technical degree preferred
- 3+ year of relevant experience
- 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
