TD Bank US Compliance is on a mission to build a more resilient and scalable compliance risk management function and is looking for a Data Scientist III to help reshape compliance structures and processes, driving innovation at every level.
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 one statistical tools (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 one of the following tools: 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
- Lead, develop and manage end-to-end statistical analyses on TD products to ensure fair banking compliance with an oversight from a senior manager
- Document the completed analytical deliverables in a sustainable format
- Provide expertise and share knowledge in training sessions with junior team members
- 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
Other
- 5+ years of relevant experience
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- 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
