AML Data Scientist III

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$95,264 - $155,376 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:

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Department Overview:

Leveraging industry expertise to identify and mitigate financial crime risks, this position will lead on developing and providing valuable insights related to scenarios, emerging risks, reporting and ad-hoc requests in AML transaction monitoring, . Collaborate with cross-functional teams, support Financial Intelligence Units (FIU) with data analysis, and contribute to strategic initiatives aimed at strengthening our AML efforts. This individual will be responsible for ensuring successful execution of various projects within established timelines and providing a second level of oversight.  Prior experience and expertise  with AML analytics, transaction monitoring, Azure, Databricks, and Python would be helpful in this role. 

Depth & Scope:

• Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
• Position typically deals with senior/executive management
• Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)
• May manage and prioritize multiple projects at a given time

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
• 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Skills:

• Experience in Financial Crimes / Transaction Monitoring / Compliance Risk Analytics domain

• Experience in generating data and analytics insights, assisting financial institutions with addressing the efficiency and effectiveness of transaction monitoring systems
• Experience with model development and tuning (i.e., segmentation; optimization / tuning of AML scenario/rule behaviors, and alert/case models to reduce false positives)
• Experience with exploratory data analysis to uncover new trends and typologies in AML (i.e., emerging risks)
• Experience with both rule-based and machine learning AML models

Customer Accountabilities:

• 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 unde