Data Scientist Iii - Financial Crime Risk Modeling
TD
Mount Laurel, New Jersey, United States
Base: $96,130 - $155,950 usd; bonus/equity: not sp...
Regression, classification, and machine learning models
Anomaly detection techniques
Python and sql proficiency
The US Financial Crime Risk Modeling & Advanced Analytics team develops, maintains, and enhances AML/CTF models/AI solutions to comply with regulatory requirements and support TD's global strategies
Job Summary
The US Financial Crime Risk Modeling & Advanced Analytics team develops, maintains, and enhances AML/CTF models/AI solutions to comply with regulatory requirements and support TD's global strategies.
This role provides technical leadership, explains complex data analysis, and translates business problems into viable data science solutions using various programming languages and advanced analytics.
TD is committed to providing fair and equitable compensation, growth opportunities, skill development, and a competitive total rewards package including health and well-being benefits and career development programs.
Matching Summary
The US Financial Crime Risk Modeling & Advanced Analytics team develops, maintains, and enhances AML/CTF models/AI solutions to comply with regulatory requirements and support TD's global strategies.
Salary
Base: $96,130 - $155,950 USD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
regression, classification, and machine learning models
anomaly detection techniques
Python and SQL proficiency
data science solutions
extracting and preparing data
Nice-to-have
Financial Crimes / Compliance Risk Analytics
GenAI applications
analytical thought leadership
positive work environment
diverse perspectives
Key Requirements
Undergraduate or advanced technical degree
Graduate's degree with 5+ years of relevant experience
Experience with GenAI applications
Ability to work independently on complex initiatives