Data Scientist III - Financial Crimes Modeling

TD•Boston, MA

1d•Onsite

About The Position

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. The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting.

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 5+ year of relevant experience; higher degree education and research tenure can be counted
Proficient with Python or equivalent programming language and SQL
Experience in Financial Crimes / Compliance Risk Analytics is a plus
Experience in optimization / testing / tuning of AML/CTF solutions, particularly transaction monitoring systems
Experience in machine learning model development, validation, and deployment; experience with LLM-based solutions a plus
Familiarity with cloud platforms (Azure) and modern data stack tools a plus
Is familiar with the business context and data infrastructure
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
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 organizational alignment
Translates up to date information into continuous improvement activities that enhances performance
Adheres to enterprise frameworks or methodologies that relate to activities for business area
Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
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 5+ years of relevant experience, we will consider 3+ years of relevant experience
Experience in Financial Crimes / Compliance Risk Analytics
Experience in optimization / testing / tuning of AML/CTF solutions, particularly transaction monitoring systems
Experience in machine learning model development, validation, and deployment; experience with LLM-based solutions a plus
Familiarity with cloud platforms (Azure) and modern data stack tools a plus

Responsibilities

Provides technical leadership across the overall Analytics function.
Provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Develops, maintains, and enhances Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions.
Supports TD's global AML/CTF strategies.
Addresses emerging risks.
Innovates, drives, and supports initiatives and business as usual operations in multiple functional areas including customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting.
Works closely with business owners to identify opportunities and serves as an ambassador for data science.
Translates business problems to viable data science solutions.
Uses a wide range of programming 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 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 results.
Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment.
Translates up to date information into continuous improvement activities that enhances performance.
Adheres to enterprise frameworks or methodologies that relate to activities for business area.
Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist.
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.