Data Scientist II – FCRM Modeling

Data Scientist II role at TD, responsible for financial crime risk model development and monitoring. Utilizing data science techniques to provide strategic insights and enhance decision-making.

Posted 7/24/2026full-timeRemote • Florida, New Jersey, New York, South Carolina, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $76,290 - $125,260 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science techniques, including data wrangling, statistical inference, and advanced analytics, with a strong focus on financial crime risk modeling and cloud-based solutions. Proficient in Python and SQL, with a solid understanding of neural network architecture and transaction monitoring.

Highest-signal resume keywords

Data WranglingFinancial Crime Risk ModelingPython ProgrammingSQL ProficiencyCloud Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProfilingData VisualizationStatistical InferenceTree-Based AlgorithmsAdvanced Data AnalyticsNeural Network ArchitectureTransaction Monitoring

Soft Skills

Autonomous WorkStakeholder GuidanceProject Management

Industry Keywords

AML DomainProduction-Grade Models

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Collecting data and using 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.
Responsible for financial crime risk model development and monitoring.
Works autonomously within a specialized business management function and may provide work direction to others.
Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members.
Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise.
Oversees and/or independently performs tasks from end-to-end.

Requirements

What you’ll need

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; 3+ year of relevant experience; higher degree education and research tenure can be counted
Hands-on experience in modeling especially in tree-based algorithms and advanced data analytics
Strong coding skills in Python and SQL
Knowledge of the AML domain is a plus
Experience delivering production-grade models in a cloud environment
Experience in neural network architecture and Transaction Monitoring

Benefits

Comp & perks

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