Data Scientist III – Financial Crimes Modeling

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1855H1B SponsorCompany SiteLinkedIn

Location

New Jersey + 2 moreAll locations: New Jersey, New York, Massachusetts

Posted

34 days ago

Salary

$96.1K - $156.0K / year

Bachelor Degree5 yrs expExperience acceptedEnglishAzureCloudPythonSQL

Job Description

• Provides technical leadership across the overall Analytics function which may have an enterprise mandate • Provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material • Responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions • Innovate, drive, and support initiatives and business as usual operations in multiple functional areas • Works closely with business owners to identify opportunities • 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

Job Requirements

  • 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 5+ year of relevant experience; higher degree education and research tenure can be counted
  • In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience
  • Proficient with Python or equivalent programming language and SQL
  • Experience in Financial Crimes / Compliance Risk Analytics is a plus
  • Experience in optimization / testing / tuning of AML/CTF solutions, particularly transaction monitoring systems
  • Experience in machine learning model development, validation, and deployment; experience with LLM-based solutions a plus
  • Familiarity with cloud platforms (Azure) and modern data stack tools a plus

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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