Work Location:
New York, New York, United States of America
Hours:
40
Pay Details:
$123,050 - $201,170 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:
Please be aware that this role within this line of business is only eligible to those candidates that are U.S. Citizens / Green Card Holders, and will not be eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN or other work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship.
Job Description:
The Lead Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
In addition, the Lead Data Scientist provides oversight and consultative advice and guidance to others as the lead or top Data Scientist with enterprise or significant cross business mandate. This role may also evaluate, investigate and identify technical solutions and provide leading-edge techniques and lead innovation to create methodologies to solve a wide array of complex business or enterprise issues.
Department Overview:
(FCRM) Modeling & Advanced Analytics team is part of the FCRM organization and is responsible for developing, maintaining/enhancing, and governing the Enterprise Anti-Money Laundering/Counter-Terrorist Financing (AML/CTF) models/AI solutions to support TD's global AML/CTF strategies, address emerging risks, and comply with regulatory requirements/changes and internal policies.
We are seeking a Lead Data Scientist to collect data and use a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. In addition, the Lead Data Scientist will work closely with model owners, users, and key internal and external stakeholders (including Audit and Model Risk Management) to ensure models are well-designed, fit for purpose, and aligned with internal and regulatory expectations.
Depth & Scope:
Delivers advanced analytical capabilities above and beyond existing methods
Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders
Showcases advanced level peer leadership, impacts and influences partner, and may mentor/coach peers
Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights
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:
In lieu of 7 years of relevant experience, we will consider 5 years of relevant experience
Experience with ML model development such as decision trees and other classification approaches
Proficient with Python or equivalent programming language and SQL
Strong documentation and communication skills; able to explain technical results to non-technical stakeholders
Experience with Business Analytics tools such as Tableau or Power BI
Experience in Financial Crimes / Compliance Risk Analytics is a plus
Familiarity with cloud platforms (Azure) and modern data stack tools is a plus
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
Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or leads strategic development efforts on new or emerging data science related projects
Plays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions
Shareholder Accountabilities:
Provides analytical thought leadership and stays current on developments in data mining and the application of data science
Provides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterprise
Applies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes risk
Identifies new analytical trends/data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and creates analytical models that help answer impactful business questions
Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary
Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured
Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics
Adheres to enterprise frameworks or methodologies that relates to activities for business area
Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
Employee/Team Accountabilities:
Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
Participates in personal performance management and development activities, including cross training within own team
Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
Contributes to a fair, positive and equitable environment that supports a diverse workforce
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
Domestic Travel - Occasional
International Travel - Never
Performing sedentary work - Continuous
Performing multiple tasks - Continuous
Operating standard office equipment - Continuous
Responding quickly to sounds - Occasional
Sitting - Continuous
Standing - Occasional
Walking - Occasional
Moving safely in confined spaces - Occasional
Lifting/Carrying (under 25 lbs.) - Occasional
Lifting/Carrying (over 25 lbs.) - Never
Squatting - Occasional
Bending - Occasional
Kneeling - Never
Crawling - Never
Climbing - Never
Reaching overhead - Never
Reaching forward - Occasional
Pushing - Never
Pulling - Never
Twisting - Never
Concentrating for long periods of time - Continuous
Applying common sense to deal with problems involving standardized situations - Continuous
Reading, writing and comprehending instructions - Continuous
Adding, subtracting, multiplying and dividing - Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
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Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (http://hrportal.ehr.com/tdtotalrewards)
Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
