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Quantitative Finance Analyst, Model Developer - Global Financial Crimes

Charlotte, North Carolina;

Job Description:

As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

  • Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

  • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

  • Understanding and executing activities that form the end-to-end model development and use life cycle

  • Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Position Overview

  • Responsible for independently conducting quantitative analytics and modeling projects.

  • Responsible for developing new models, analytic processes or systems approaches.

  • Creates documentation for all activities and works with Technology staff in design of any system to run models developed.

  • Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

  • This role will support the AML Event Processor and respective team.  The Event Processor is a consolidation engine that aggregates events from all detection channels and calculates aggregated risk scores for event groups based on individual risk factor scores.

Required Skills:

  • Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)

  • 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD

  • Strong Programming skills e.g. R, Python, SAS, SQL or other languages

  • Strong analytical and problem-solving skills

Desired Skills:

  • Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques

  • Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences

  • Experience with large data sets

  • Effective at prioritization/time and project management

  • Broad understanding of financial products


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:

$88,800 - $150,100 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.