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4 дня назад

Data Scientist III - FCRM Risk Modeling (AI)

96 130 - 155 950$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist III - FCRM Risk Modeling (AI): Developing and enhancing AML/CTF risk models and AI solutions for financial crime compliance with an accent on regression, classification, anomaly detection, and advanced analytics. Focus on building LLM API solutions, developing data-labeling applications, translating business problems into scalable data science solutions, and supporting regulatory risk management.

Location: Remote within the United States; listed work locations include Mount Laurel, New Jersey; New York, New York; Charlotte, North Carolina; Boston, Massachusetts; and Wilmington, Delaware. Occasional domestic travel is required.

Salary: $96,130–$155,950 USD annually.

Company

hirify.global is a large financial institution serving households and businesses across Canada, the United States, and other markets.

What you will do

  • Develop, maintain, and enhance enterprise AML/CTF models and AI solutions for financial crime risk management.
  • Work across customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting.
  • Translate business problems and data into scalable, sustainable data science solutions.
  • Extract and prepare data, apply statistics and advanced analytics, and communicate insights through effective visualizations.
  • Collaborate with business owners, analysts, software engineers, data engineers, and application developers.
  • Provide technical leadership, subject-matter expertise, governance guidance, and continuous improvement across enterprise initiatives.

Requirements

  • Undergraduate or advanced technical degree preferred in mathematics, physics, engineering, finance, computer science, or a related field; a graduate degree is preferred.
  • 5+ years of relevant experience; higher-degree education and research tenure may count toward the experience requirement.
  • Strong foundation in regression, classification, machine learning models, and anomaly detection techniques.
  • Proficiency with Python and SQL is required.
  • Ability to explain complex data analysis, translate business needs into data science solutions, and communicate results to stakeholders with different levels of technical understanding.
  • Ability to work independently on complex data management and analytics initiatives and manage multiple projects.
  • Applicants must be U.S. citizens or U.S. lawful permanent residents and must not require current or future TD 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.

Nice to have

  • Experience in financial crimes or compliance risk analytics.
  • Hands-on experience with GenAI applications, including LLM fine-tuning or prompting.
  • Experience building analytical solutions with LLM APIs and using GenAI applications for data-labeling solutions.

Culture & Benefits

  • Full-time position with a 40-hour workweek and remote work arrangement within the United States.
  • Base salary, variable compensation or incentive awards, health and well-being benefits, savings and retirement programs, paid time off, banking benefits, and discounts.
  • Career development support through training, mentoring, online learning, and regular development and performance conversations.
  • Training and onboarding are provided.
  • Work environment emphasizes quality, innovation, teamwork, respect, inclusion, risk management, and continuous improvement.

Hiring process

  • Selected candidates will be contacted to schedule an interview; outcomes are communicated by email or phone.
  • Applicants requiring accommodation should contact the hirify.global US Workplace Accommodations Program with their full name, contact method, and accommodation needs.

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