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Anti-Money Laundering Quantitative Analyst

  • Full Time, onsite
  • LHH Recruitment Solutions
  • On Site, United States of America
Salary undisclosed

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Job Description

Job Description

LHH Recruitment Solutions is seeking an experience Anti-Money Laundering Quantitative Analyst. The ideal candidate has extensive experience in developing, validating, monitoring AML models and has extensive Global Banking and Markets experience. This is a 12-month contract assignment with potential for conversion in Uptown Charlotte, NC.

Responsibilities:

  • Independently assess AML screening models and high-risk detection operations by developing models or analytical frameworks.

  • Tune parameters or collaborate with model developers to minimize false negatives and identify triggers for false positives, enhancing model accuracy.

  • Evaluate the organization s model risk management framework and controls for development, validation, implementation, and monitoring.

  • Manage ongoing monitoring of AML screening models, set performance metrics, and provide insights to stakeholders. Address breaches in metrics with model risk management and LOB partners.

  • Assist in onboarding new applications/clients into the screening platform, including data mapping and discussions with various business lines.

  • Oversee multiple initiatives, understand cross-LOB screening needs, provide model/analytical requirements, and track project status.

  • Collaborate with cross-LOB teams to integrate data science solutions into AML systems.

  • Work with technology teams to improve/automate processes and stay updated on industry trends and emerging technologies.

  • Communicate findings through audit templates, reports, and presentations. Collaborate effectively with other quantitative analysts or data scientists.

Required Skills:

  • Master s or bachelor s degree in finance, Economics, Mathematics, Statistics, or a related quantitative field.

  • Experience in Global Banking and Markets.

  • Experience screening applications like Fircosoft.

  • 5+ years of experience in developing, validating, using, and/or auditing AML models, economic sanctions, transaction monitoring, or fraud detection models.

  • Certified Anti-Money Laundering Specialist (CAMS) certification

  • Knowledge of AI/machine learning concepts and their implementation.

  • Strong analytical, technical, communication, and auditing skills.

  • Understanding of quantitative modeling concepts, financial instruments, and risk assessment methodologies.

  • Experience in data analytics and interpreting large data volumes.

  • Proficiency in programming languages like Python, Spark, R, SAS, SQL, and related tools (SQL Server, Toad, PyCharm, Jupyter Notebook, Hue, Beeline).

  • Experience with MS Suite and presentation/visualization tools. Familiarity with project management and code control tools like GIT and Bitbucket.

Pay: $90-95/hr

Location Type: Hybrid



Pay Details: $90.00 to $95.00 per hour

Search managed by: Fyre Sync

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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