TD is seeking a Senior Data Scientist to provide technical leadership in financial crime risk model development and monitoring within the Analytics, Insights, & Artificial Intelligence business unit.
Requirements
- Hands-on experience in modeling with strong coding skills in Python and SQL.
- Experience with LLM and knowledge of the AML domain is a plus.
- Experience in SAS coding and Transaction Monitoring is a plus.
- Graduate degree candidates with ~4 years' experience will be considered for this role.
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
- 5+ years of relevant experience; higher degree education and research tenure can be counted.
- Deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Responsibilities
- Provides technical leadership across the overall Analytics function which may have an enterprise mandate.
- Responsible for financial crime risk model development and monitoring.
- Works closely with business owners to identify opportunities and serves as an ambassador for data science.
- Uses a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics.
- Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders.
- Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions.
- Analyzes and interprets complex data analysis related material for client interactions.
Other
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
- Domestic Travel – Occasional.
- Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork.
- Contributes to a fair, positive and equitable environment that supports a diverse workforce.
- Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.
