FCRM - Lead Data Scientist (US)

TD•Fort Lauderdale, FL

1d•$123,050 - $201,170•Onsite

About The Position

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. At TD, our Financial Crime Risk Management (FCRM) group plays a critical role in protecting the Bank, our customers, and the communities we serve from financial crimes threat. We are responsible for design, oversight, and execution of enterprise-wide programs that address Anti Money Laundering (AML) and other financial crimes risk management obligations. FCRM partners closely with business lines, technology, operations, and regulatory stakeholders. This role under FCRM group will lead, develop, and oversee a team of professionals who supports, policies, standards, and provide oversight, expert policy and regulatory guidance, and advice related to TD’s Currency Transaction (CTR) compliance programs. Provide strategic and day-to-day direction on a broad range of complex CTR program activities, including operational support, providing governance and support, and addressing and escalating related issues. Oversee the timely execution of periodic and event-driven reviews using a risk-based approach to ensure alignment with regulatory requirements. Serve as the primary escalation point for CTR matters or exceptions. Identifies and implements risk mitigation strategies for findings from risk assessments, audit findings, regulatory exams, and potential violations of law. Coordinate with internal and external stakeholders (such as auditors and regulators) to provide necessary documentation and support during audits and examinations related to CTR regulatory compliance.

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
Applicants must have authorization to work in the United States without current or future need for TD sponsorship.

Nice To Haves

10+ years of experience in an AML or Risk Management background.
Extensive experience on FinCEN Currency Transaction reporting regulation
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.
Strong and demonstrated storytelling, writing (memos, procedures, slides), and presentation skills, to executive audience and the audience of Governance and Audit.
Excellent at prioritizing in an environment where there are constant competing priorities and time-sensitive regulatory requests
Highly organized and diligent individual with the ability to manage multiple workstreams
Knowledge of Actimize CTR and ActOne is a plus

Responsibilities

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
Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights
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
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
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