Lead Data Scientist - Financial Crimes Modeling

TD Bank • Boston, NY

14h • $123,050 - $201,170

About The Position

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. (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. 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

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+ year of relevant experience; higher degree education and research tenure can be counted
• Proficient with Python or equivalent programming language and SQL
• Strong documentation and communication skills; able to explain technical results to non-technical stakeholders
• 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
• Provides analytical thought leadership and stays current on developments in data mining and the application of data science
• 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
• 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

Nice To Haves

• 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
• 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

Responsibilities

• 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.
• Provides oversight and consultative advice and guidance to others as the lead or top Data Scientist with enterprise or significant cross business mandate.
• 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.
• 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.
• Leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders
• Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights
• Provides analytical thought leadership and stays current on developments in data mining and the application of data science
• 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
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured
• 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
• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees