Data Scientist II; US FCRM Modeling

Position: Data Scientist II (US) FCRM MODELING
Location: New York

## Data Scientist II (US) FCRM MODELINGPostulerremote type:
À distance locations:
New York, New York:
Greenville, South Carolina:
1919 Gallows Road, Vienna, Virginia:
Mount Laurel, New Jersey:
Fort Lauderdale, Florida time type:
Temps pleinposted on:
Publié aujourd'huitime left to apply:
Date de fin : 18 juillet 2026 (Il reste 2 jours pour postuler) job requisition :
R 1497763
*
* Work Location:

** New York, New York, États-Unis d'Amérique
*
* 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:
** Analyses, informations et intelligence artificielle
*
* Job Description:

***** Attention:
This role is not eligible for TD work visa support or sponsorship (e.g., H-1B,
* F-1 OPT/STEM OPT, TN or
* other work visa authorizations).  Applicants must be either a US Citizen or have a US Resident Green Card authorization,
* * without current or future need for TD sponsorship* *.
****
* 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 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 business acumen to extract insights from the big data
* Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
* Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
** Shareholder Accountabilities:
*** Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
* Educates the organization on approaches, such as testing hypotheses and statistical validation of result
* Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
* Translates up to date information into continuous improvement activities that enhance performance
* Adheres to enterprise frameworks or methodologies that relate to activities for our business area
* Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
* Participates in…