Senior AML Business Data Manager

About the role

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.

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

Requirements

• 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+ years of relevant experience
• Higher degree education and research tenure can be counted
• Experience with Implementation, Maintenance and Enhancement of AML Transaction Monitoring Systems
• Expertise in end to end TM implementation activities such as Scenario Selections, Segmentation, Threshold Tuning, BTL Testing, Model Validation etc.
• Experience with interaction with oversight and governance teams such as Internal Audit, Monitors, Examiners etc.
• Oracle Transaction Monitoring and Case Management Platform experience is an added advantage

Qualifications

• 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+ years of relevant experience; higher degree education and research tenure can be counted
• Preferred Skills: Experience with Implementation, Maintenance and Enhancement of AML Transaction Monitoring Systems. Either on the Technology or one the Business teams. Expertise in end to end TM implementation activities such as Scenario Selections, Segmentation, Threshold Tuning, BTL Testing, Model Validation etc. Experience with interaction with oversight and governance teams such as Internal Audit, Monitors, Examiners etc. Oracle Transaction Monitoring and Case Management Platform experience is an added advantage

Skills

• Experience with Implementation, Maintenance and Enhancement of AML Transaction Monitoring Systems
• Expertise in end to end TM implementation activities such as Scenario Selections, Segmentation, Threshold Tuning, BTL Testing, Model Validation etc.
• Experience with interaction with oversight and governance teams such as Internal Audit, Monitors, Examiners etc.
• Oracle Transaction Monitoring and Case Management Platform experience is an added advantage

Benefits

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.

Pay

$123,050.00 - $201,170.00 USD

Schedule

40 hours per week