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Data Scientist II; US) FCRM Modeling

Job in Syracuse, Onondaga County, New York, 13201, USA
Listing for: TD Bank Group
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 76000 - 125000 USD Yearly USD 76000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist II (US) FCRM Modeling
## Data Scientist II (US) FCRM Modeling Apply:
Remote:
New York, New York:
Greenville, South Carolina:
1919 Gallows Road, Vienna, Virginia:
Mount Laurel, New Jersey:
Fort Lauderdale, Florida:
Full time:
Posted Yesterday:
End Date:
October 5, 2026 (2 days left to apply):
R 1514377
*
* Work Location:

** New York, New York, United States of America
*
* Hours:

** 40
* * Pay Details:
** 76,290. USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
*
* Job Description:

**** Eligibility Requirements
** 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.
** Work Visa Sponsorship
** This role is not eligible for TD work visa support or sponsorship, including H-1B, F-1 OPT/STEM OPT, TN, or other work visa authorizations.  
*
* Job Description:

** The Data Scientist II is responsible for 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.  
** Department Overview:
** We are seeking a skilled Data Scientist in our Financial Crime Risk Modeling & Advanced Analytics team. In this role, you will be responsible for financial crime risk model development and monitoring.  
** Depth & Scope:
*** 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
* Scope of role may have enterprise impact
* Focuses on short to medium - term issues (e.g. 6-12 months)
* 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  
*
* Education & Experience:

*** 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  
** Preferred

Skills:

*** 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
* Graduate degree candidates with ~1+ years' experience will be considered for this role.  
** Customer Accountabilities:
*** Understands business context and data infrastructure and translates business problems to viable data science solutions
* Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with…
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