Manager Financial Intel Services Senior at City National Bank
Jersey City, NJ 07302, USA -
Full Time


Start Date

Immediate

Expiry Date

31 Oct, 25

Salary

237014.0

Posted On

01 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Correspondent Banking, Usa Patriot Act, Bank Secrecy Act, Terrorist Financing

Industry

Financial Services

Description

ADDITIONAL QUALIFICATIONS

  • Bachelor’s degree required; advanced degree, such as MBA or JD is preferred with 10 years or more equivalent experience
  • Experience in working with, assessing, validating, designing, or managing various risk management, automated monitoring tools, and AML transaction surveillance systems.
  • Certified Anti-Money Laundering Specialist (ACAMS)/Certified Fraud Examiner (CFE)/Certified AML and/or Fraud Professional (CAFP) is preferred.
  • Ability to interact effectively with all levels of Bank personnel
  • Excellent analytical, verbal and written communication skills
  • Strong project management and organizational skills
  • Excellent attention to detail and follow-up skills

ABOUT US

Since day one we’ve always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us.

Responsibilities
  • Design and enhance best-in-class AML compliance transaction monitoring and OFAC practices, leveraging industry best practices and advanced industry tools to detect and prevent financial crimes.
  • Support financial crimes and OFAC investigations processes to meet regulatory reporting timeframes through workflow efficiencies.
  • Accountability for the governance (e.g., completeness and accuracy) of data used on AML systems and tools.
  • Manage staff with model documentation and rules/score tuning analysis, and identify areas of efficiency improvements.
  • Develop data-driven insights for effective and concise management reporting to diverse stakeholders.
  • Oversees new model creation and optimization of existing models in use for risk management.
  • Programming languages and experience with Artificial Intelligence solutions a plus.
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