Senior Manager, Advanced Analytics / Data Science

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$122,304 - $199,680 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Analytics, Insights, & Artificial Intelligence

Job Description:

Department and Role Overview:

The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing 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.

We are seeking a highly skilled Senior Advanced Analytics/Data Science Manager to join us. In this pivotal role, you will be mainly responsible for, but not limited to, Sanctions Screening by leveraging quantitative/AI solutions. This incumbent is expected to be a hands-on technical leader with experience and ability to build, manage, and grow a high-performing team.

The above details are specific to the role which is outlined in the general description below.

The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through data science. This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. This role may also oversee the development of data models, data mining and analytic solutions.

Depth & Scope:

• 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
• Focuses on longer range planning for functional area (e.g. 12 months or greater)

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
• 7+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Skills:

• Experience in Financial Crimes / Compliance Risk Analytics, especially in Sanctions Screening.
• Experience in optimization / tuning of Anti-Money Laundering (AML) and Counter-Terrorism Financing(CTF) solutions.
• Experience with NetReveal, Quantifind, or similar products is a plus.

Customer Accountabilities:

• 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