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4 дня назад

Data Scientist III (US) - FCRM (Financial Crimes Risk Management)

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 (US) - FCRM (SQL/Databricks/Python): Developing FCRM analytics, transaction monitoring metrics, and executive and regulatory reporting from large, complex datasets with an accent on data quality, documentation, and actionable insights. Focus on translating ambiguous business requirements into validated analytical solutions, explaining complex findings to senior stakeholders, and maintaining scalable reporting logic.

Location: Remote within the United States; work location listed as Mount Laurel, New Jersey, with additional locations in South Carolina, Delaware, Florida, New York, North Carolina, and Virginia. Applicants must be U.S. citizens or lawful permanent residents and must not require current or future TD sponsorship.

Salary: $96,130–$155,950 USD

Company

TD is a large financial institution and bank serving households and businesses in Canada, the United States, and other markets.

What you will do

  • Develop and deliver FCRM analytics and reporting, including transaction monitoring metrics, executive reporting, governance reporting, and ad hoc analysis.
  • Work with large and complex datasets to translate business requirements into accurate, actionable insights for senior management, regulators, and FCRM stakeholders.
  • Develop and maintain reporting logic using SQL, Databricks, and Python, owning deliverables from requirements through development, validation, documentation, and final delivery.
  • Translate business problems and ambiguous questions into viable data science solutions using statistical and advanced analytics techniques.
  • Visualize findings and communicate complex results clearly to senior management and technical and non-technical stakeholders.
  • Collaborate with data and business analysts, software engineers, data engineers, and application developers on scalable data science solutions.

Requirements

  • 5+ years of relevant experience; advanced technical education and research tenure may count toward experience.
  • Undergraduate or advanced technical degree preferred in mathematics, physics, engineering, finance, computer science, or a related field; graduate degree preferred.
  • Strong hands-on experience with SQL, Databricks, and Python.
  • Experience developing executive, governance, regulatory, and analytical reporting from complex datasets.
  • Experience owning deliverables across requirements, development, validation, documentation, and final delivery.
  • Strong analytical, quality-control, data reconciliation, issue-identification, independent-validation, and documentation skills.
  • Ability to convert ambiguous business questions and ad hoc requests into clear analytical solutions and communicate findings to senior stakeholders.
  • Strong organizational skills for managing recurring reporting and competing ad hoc priorities.

Nice to have

  • Experience in financial crimes, AML, transaction monitoring, compliance risk analytics, or regulatory reporting.

Culture & Benefits

  • Full-time role with a 40-hour work week and occasional domestic travel; international travel is not required.
  • Remote work arrangement within the United States.
  • Benefits include health and well-being plans, savings and retirement programs, paid time off, banking benefits and discounts, career development, and incentive compensation eligibility.
  • Training, onboarding, mentoring, online learning, and regular development conversations are provided.
  • Work emphasizes risk management, regulatory compliance, quality, collaboration, mentorship, and continuous improvement.

Hiring process

  • Selected candidates will be contacted to schedule an interview; outcomes are communicated by email or phone.
  • Accommodation requests for the application process can be sent to the hirify.global US Workplace Accommodations Program.

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