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:

Job Description:

The Senior Manager, Advanced Analytics 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 advanced analytics. This role manages the overall Advanced Analytics team or function for a key business which may include Data Modelers and/or Data Scientist roles. This role may also oversee the development of statistical models, data mining and analytic solutions.

Department Overview:

We are seeking a highly skilled Senior Data Science Manager in our Financial Crime Risk Modeling & Advanced Analytics team. In this pivotal role, you will be responsible for detecting potential financial crimes by leveraging big data, advanced statistics, and AI/ML technologies. This position will be a hands-on technical leader with experience of developing and managing a high-performing team.

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 reporting 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 identifies 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 field.
• Experience in generating data and analytics insights, assisting financial institutions in addressing the efficiency and effectiveness of transaction monitoring systems, including model development, model validation and monitoring, customer risk rating models, and segmentation; optimization / tuning of AML scenario/rule behaviors, and alert/case models to reduce false positives.

Customer Accountabilities:

• Leads team of Data Modelling professionals and provides day to day direction as needed
• Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
• Leads and oversees the design and delivery of enterprise analytic solutions for customers
• Oversees build of complex statistical models that learn from and scale to petabytes of data
• Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
• Provides analytical thought leadership and stays current on developments in data mining
• May be accountable to lead team in developing powerful business insight