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Senior Quantitative Finance Analyst, AML Model Development

Charlotte, North Carolina;

Job Description:

This role is a Senior Quantitative Finance Analyst within the model development team for Anti-Money Laundering (AML) detection models. 

These models identify potentially suspicious behaviors for further evaluation by our in-house investigation teams. This area has a unique appetite for a wide scope of model methodologies, from simple rules-based models to advanced machine learning and AI models which facilitates opportunities for both immediate, effective contribution on team priorities and personal development through exposure to advanced modeling techniques. Our statistical toolkit includes various numerical procedures, with a recent emphasis on enhancing custom, AML domain-specific performance testing and evaluation capabilities. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.

  • Responsible for independently conducting quantitative analytics and complex modeling projects.

  • Leads efforts in development of new models, analytic processes or system approaches.

  • Creates documentation for all activities and may work with technology staff in design of any system to run models developed.

  • Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

Required Skills:

  • Successful candidates will have a Masters or PhD in Math, Economics, Statistics, or similar discipline, and a minimum 5 years relevant experience.

  • Ability to work in a large, complex organization, and influence various stakeholders and partners

  • Self-starter; Initiates work independently, before being asked

  • Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others

  • Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences

  • Ability to effectively presents findings, data, and conclusions to influence senior leaders

  • Strong programming skills, e.g. Python, SAS, MATLAB or similar language

  • Strong analytical and problem-solving skills

Desired Skills:
The ideal candidate will possess the following skills and experience

  • Solid understanding of AML and Global Financial Crime modelling techniques

  • Experience with core GRA Model Development Tools (BitBucket, Horizon, PyCharm, JIRA, GRADOC)

  • Broad experience in the design, implementation, and validation of risk models

  • Good understanding of current US regulatory environment, including but not limited to AML


1st shift (United States of America)

Hours Per Week: 


Learn more about this role

Full time


Manages People: No

Travel: No

Jersey City pay and benefits information

Jersey City pay range:

$125,000 - $210,000 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.


This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.