Data Scientist II (US) FCRM Modeling (AML/CTF)

Location: Mount Laurel, New Jersey, United States of America. Applicants must be US citizens or hold a US Resident Green Card and must not require current or future TD sponsorship.

Salary: USD 76,290–125,260 per year.

Company

A global financial institution serving households and businesses across Canada, the United States, and other markets.

What you will do

• Collect, prepare, profile, visualize, and analyze data to uncover actionable insights.
• Develop, maintain, and enhance anti-money laundering and counter-terrorism financing models and AI solutions.
• Support customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting initiatives.
• Translate business problems into viable, scalable, and sustainable data science solutions.
• Present analytical findings and statistical validation to technical and non-technical stakeholders.
• Collaborate with data and business analysts, software engineers, data engineers, and application developers.

Requirements

• Three or more years of relevant experience, or equivalent advanced degree and research experience.
• Undergraduate or graduate degree in data science, statistics, mathematics, computer science, engineering, finance, or another quantitative discipline.
• Proficiency in Python and SQL.
• Hands-on experience with advanced quantitative analysis, statistical modeling, and machine learning.
• Strong communication skills and the ability to explain analytical findings to varied audiences.
• US citizenship or US Resident Green Card authorization required; the role is not eligible for work visa sponsorship.

Nice to have

• Experience with LLM prompt engineering and performance evaluation.
• Knowledge of financial crime, anti-money laundering, sanctions or watchlist screening, and compliance risk analytics.
• Awareness of responsible AI and model governance.

Culture & Benefits

• Health and well-being benefits, savings and retirement programs, and paid vacation, flex, and holiday time off.
• Banking benefits, discounts, variable compensation, and recognition programs.
• Training, onboarding, online learning, mentoring, and regular career development conversations.
• A respectful and equitable workplace that values diverse perspectives and teamwork.
• Occasional domestic travel may be required; international travel is not expected.

Hiring process

• Selected candidates are contacted to schedule an interview.
• Training and onboarding sessions are provided after joining.