AML Senior Manager – Data Science
| Company | TD Bank |
|---|---|
| Location | Boston, MA, USA, Mt Laurel Township, NJ, USA, New York, NY, USA, Wilmington, DE, USA, Vienna, VA, USA |
| Salary | $122304 – $199680 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- 7+ years of relevant experience; higher degree education and research tenure can be counted
- Proficiency with Python and SQL is a must
- Hands-on model development experience is a must
Responsibilities
- Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
- Oversees and leads a large and/or highly complex and diverse analytical function for an area of significant risk, complexity or scope
- Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and identifying operational efficiencies and opportunities with other business management/enterprise areas
- Facilitates key strategic discussions and provides thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
- Sets operational team direction and collaborates with others to execute on common goals
- Leads team of Data Scientists and provides day-to-day direction as needed
- Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
- Works closely with business owners to identify opportunities and serves as an ambassador for data science
- Leads and oversees the design and delivery of enterprise analytic solutions for customers
- Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
- Collaborates with business partners to shape and prioritize ad hoc analysis
Preferred Qualifications
- Exceptional candidate with master’s degree and over 4 years’ relevant (including academic) experience will be considered
- Experience in Financial Crimes / Compliance Risk Analytics is a plus
- Experience with NLP and Large Language Model is a plus