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TD

Data Scientist III – FCRM

TD

. Provide technical leadership across the Analytics function .

Posted 11/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $96,130 - $155,950 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Financial Crimes and Compliance Risk Analytics, leveraging advanced analytics and data science techniques to identify and mitigate financial crime risks. Proficient in translating business problems into data-driven solutions while managing multiple projects and collaborating with cross-functional teams.

Highest-signal resume keywords
Financial Crimes AnalyticsData TransformationMachine Learning Model DevelopmentPython ProgrammingMicrosoft Azure

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data MiningStatisticsAdvanced AnalyticsData Science TechniquesETLData VisualizationData AnalysisProject ManagementHypothesis TestingStatistical Validation
Soft Skills
CollaborationCommunicationAnalytical ThinkingMentoringRelationship Management
Tools & Technologies
SQLDatabricksGenerative AIAgentic AI
Industry Keywords
AML TypologiesFinancial Intelligence UnitsRisk ManagementGovernanceCompliance

Tech Stack

Tools & technologies
AzureETLPythonSQL

About the role

Key responsibilities & impact
  • Provide technical leadership across the Analytics function
  • Create, develop, and maintain AML typologies
  • Leverage analytics to proactively identify and mitigate financial crime risks
  • Collaborate with cross-functional teams and support Financial Intelligence Units through targeted data analysis
  • Contribute to strategic initiatives strengthening AML efforts across the organization
  • Oversee execution of multiple projects within established timelines
  • Provide second-level project oversight
  • Work with business owners to identify opportunities and serve as a data science ambassador
  • Understand business context and data infrastructure and translate business problems into data science solutions
  • Extract and prepare data using programming languages such as Python
  • Apply statistics and advanced analytics to extract insights from big data
  • Visualize data insights and communicate findings to decision-makers and stakeholders
  • Collaborate with analysts, engineers, and developers to build scalable, sustainable data science solutions
  • Provide analytical thought leadership and stay current on data mining and data science developments
  • Improve business processes through data-driven insights
  • Educate the organization on hypothesis testing and statistical validation
  • Support continuous improvement, risk, governance, and remediation initiatives
  • Manage relationships across business lines, corporate functions, and control functions
  • Monitor emerging issues, trends, and regulatory requirements
  • Maintain a culture of risk management and control
  • Participate in knowledge transfer, mentoring, team development, and cross-functional initiatives
  • Keep stakeholders informed about project status and relevant day-to-day information

Requirements

What you’ll need
  • Applicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder)
  • Must not require current or future TD sponsorship
  • 5+ years of relevant experience, or progressive project work experience with a preferred degree
  • Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science
  • Graduate degree preferred
  • Experience in Financial Crimes / Compliance Risk Analytics
  • Experience generating data and analytics insights and addressing transaction monitoring system efficiency and effectiveness
  • Experience with data transformation, ETL, and combining data from multiple sources
  • Hands-on experience developing, validating, and deploying machine learning models
  • Experience with Microsoft Azure, Python, SQL, and Databricks
  • Experience with generative and agentic AI
  • Knowledge of data mining, statistics, advanced analytics, and data science techniques
  • Ability to translate business problems into viable data science solutions
  • Ability to visualize insights and communicate results to technical and non-technical stakeholders
  • Ability to work with data and business analysts, software engineers, data engineers, and application developers
  • Ability to work independently on technical data management solutions
  • Ability to manage and prioritize multiple projects
  • Ability to travel domestically occasionally
  • U.S. work authorization without current or future visa sponsorship

Benefits

Comp & perks
  • Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
  • 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
  • Online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Flexible remote work arrangement
  • Occasional domestic travel