[Remote] Data Scientist - FCRM

Note: The job is a remote job and is open to candidates in USA. TD Bank, N.A. is one of the world's leading global financial institutions, and they are seeking a Data Scientist III to provide technical leadership in analytics. This role involves creating and maintaining AML typologies, collaborating with cross-functional teams, and leveraging analytics to mitigate financial crime risks.

Responsibilities

• 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
• 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
• 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
• 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

Skills

• U.S. Citizens / Green Card Holders eligibility
• Authorization to work in the United States without current or future need for TD sponsorship
• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
• 5+ years of relevant experience; higher degree education and research tenure can be counted
• Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks
• Familiarity with both generative and agentic AI
• Experience in Financial Crimes / Compliance Risk Analytics field
• Experience in generating data and analytics insights and assisting financial institutions with addressing the efficiency and effectiveness of transaction monitoring systems
• Experience with data transformation, ETL, and combining data from multiple sources to create analytics reports
• Hands-on experience developing, validating, and deploying machine learning models
• Experience with Microsoft Azure, Python, SQL, and Databricks
• Experience with both generative and agentic AI

Benefits

• Base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
• 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
• Reward and recognition
• Regular career, development, and performance conversations with your manager
• Access to an online learning platform
• A variety of mentoring programs to help you unlock future opportunities
• Diverse career paths where you can grow your expertise and make a meaningful impact
• Training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role
• Accommodations to complete the application process for applicants with disabilities

Company Overview