Data Scientist III (US)

TD Bank; Mount Laurel Township (NJ); On-site; USD 96,000 - 156,000; Full time

Job summary

TD Bank is seeking a Data Scientist III to provideTechnical leadership across the Analytics function, with broad expertise in AML data governance and regulatory reporting. The role emphasizes translating data insights into actionable guidance for senior stakeholders.

The candidate will leverage Python and SQL, work with data engineers and analysts, and contribute to enterprise data management initiatives within TD's Data Governance program.

Qualifications

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
• 5+ years of relevant experience in data science or analytics.
• Strong knowledge of AML and financial crimes regulatory reporting.

Responsibilities

• Communicate complex data analysis to non-technical stakeholders.
• Develop and lead data-driven solutions across analytics initiatives.
• Collaborate with data engineers, software engineers and analysts to implement scalable models.

Skills

Python

SQL

Data Visualization

Education

Undergraduate degree or advanced technical degree preferred

Tools

Databases

Job description

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$96,130 - $155,950 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

Department Summary:

This role is withing US FCRM (Financial Crimes Risk Management) group of TD Bank. The new hire will support a team of professionals who supports, policies, standards, and provide oversight, expert policy and regulatory guidance, and advice related to TD's Data Governance Process. Provides strategic and day-to-day direction on a broad range of complex AML Data Governance program activities, including operational support and addressing and escalating related issues. Oversees the timely execution of periodic and event-driven reviews to ensure alignment with regulatory requirements.

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.

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 :

Extensive experience on AML and financial crimes related regulatory reporting.
Technical know-how on SQL and Databases
Advanced Knowledge of best practice of data controls to mitigate data risk in the space of AML; solid understanding of how data is enabling AML capabilities/use cases, able to explain \"so-what\" from AML risk & control perspective.
Advanced knowledge of common design of source to consumption data pipeline, leveraging the Bank's data lake, as well as ETL.
Advanced knowledge of the Three Lines of Defense in a risk management framework.
Highly organized and diligent individual with the ability to manage multiple workstreams.

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 understanding
Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

Shareholder Accountabilities:

Analytical thought leadership and stays current on developments in data mining and the application of data science
Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
Educates the organization on approaches, such as testing hypotheses and statistical validation of result
Helps the organization understand the principles and the math behind the scientist process to drive org