Data Scientist III - Financial Crimes Modeling

TD Bank, N.A.; New York (NY); Hybrid; USD 95,000 - 156,000; Full time

Job summary

An established industry player is seeking a Data Scientist III to lead financial crimes modeling and analytics. This hybrid role involves collaborating with business owners to translate complex problems into actionable data science solutions. The ideal candidate will possess a strong background in data analysis, particularly within financial compliance, and will be responsible for extracting, preparing, and visualizing data insights. Join a forward-thinking team committed to innovation and community support, where your expertise will drive impactful decisions and contribute to the organization's success.

Benefits

Comprehensive Total Rewards package

Career growth through training and mentorship

Development programs

Diversity and inclusion initiatives

Qualifications

• 5+ years relevant experience in data science and analytics.
• Strong background in financial crimes and compliance analytics.

Responsibilities

• Identify opportunities and translate problems into data science solutions.
• Extract, prepare, and analyze data; visualize insights for decision-makers.
• Collaborate with cross-functional teams to develop scalable solutions.

Skills

Python

SQL

Financial Crimes Analytics

Data Analysis

Education

Undergraduate degree in math, physics, engineering, finance, or computer science

Advanced degree preferred

Tools

NetReveal

Quantifind

Job description

Data Scientist III - Financial Crimes Modeling

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Remote type: Hybrid

Locations: New York, NY; Wilmington, DE; Mount Laurel, NJ; Fort Lauderdale, FL; Jacksonville, FL

Time type: Full time

Posted: 2 days ago

Application deadline: May 13, 2025

Job Requisition ID: R_1410101

Work Location: New York, NY, United States

Hours: 40

Pay Range: $95,264 - $155,376 USD

TD is committed to fair and equitable compensation, offering growth opportunities and skill development. Actual offered base pay varies based on skills, experience, location, and organizational needs. Candidates are encouraged to discuss compensation with recruiters.

Department Overview

The US Financial Crime Risk Modeling & Advanced Analytics team develops and maintains AML/CTF models and AI solutions to comply with regulations, support global strategies, and address emerging risks, following industry best practices.

Role Summary

The Data Scientist III provides technical leadership and deep expertise in data analysis, often engaging with senior management. The role involves analysis, design, and support of data management solutions across complex projects, with a focus on longer-term planning.

Qualifications

• Undergraduate degree or higher in math, physics, engineering, finance, or computer science; advanced degree preferred
• 5+ years relevant experience; higher education and research tenure count

Preferred Skills

• Proficiency in Python or similar language and SQL
• Experience in Financial Crimes/Compliance Analytics
• Experience with AML/CTF solutions and tools like NetReveal or Quantifind

Responsibilities

• Collaborate with business owners to identify opportunities and translate problems into data science solutions
• Extract, prepare, and analyze data; visualize insights for decision-makers
• Work with cross-functional teams to develop scalable solutions

About TD

TD is a leading global financial institution committed to customer experience, innovation, and community support. We offer a comprehensive Total Rewards package, including salary, benefits, and development opportunities.

Additional Information

We support colleagues' career growth through training, mentorship, and development programs. Our onboarding ensures success in new roles. We value diversity, inclusion, and community impact through initiatives like the TD Ready Commitment.