TD Bank is seeking a Data Science specialist to develop, maintain, and enhance the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice.
Requirements
- Proficient with Python or equivalent programming language and SQL
- Experience in Financial Crimes / Compliance Risk Analytics
- Experience in optimization / testing / tuning of AML/CTF solutions
- Experience with NetReveal, Quantifind, or similar analytics tools
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- 5+ year of relevant experience; higher degree education and research tenure can be counted
- In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience
Responsibilities
- Works closely with business owners to identify opportunities and serves as an ambassador for data science
- Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
- Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
- Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
- 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 that retains long term benefit to the business
- Provides technical leadership across the overall Analytics function which may have an enterprise mandate
- Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
Other
- Undergraduate degree or advanced technical degree preferred
- 5+ year of relevant experience; higher degree education and research tenure can be counted
- 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 team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
- Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
