Drimva

Bank of America

Global AML Operations - Client Quantitative Analyst I

Jacksonville +3 · Full-time · Posted Oct 1, 2026

Location
Jacksonville
Plano
Charlotte
Fort Worth
Experience
2+ years in applied data science or quantitative research or related role.
Education
Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management); coursework in finance, math/statistics and/or computer science.

About the job

Supports Global AML operations by analyzing client, transaction, and performance data and developing quantitative capabilities for BSA/AML compliance programs.

What you'll do

  • Extracts, combines, transforms, and analyzes data from multiple sources to produce insights for business partners.
  • Documents and communicates quantitative methods and findings to business, risk, and technology stakeholders.
  • Develops and enhances analytics, checks output quality, and escalates data issues.

What they ask for

  • Bachelor’s Degree or higher in a quantitative field, plus relevant coursework in finance, math/statistics, and/or computer science.
  • 2+ years of experience in applied data science, quantitative research, or a related role.
  • Ability to source and manipulate structured and unstructured data, including extracting and merging data across database environments, including Hadoop.
  • Strong analytical, problem-solving, technical writing, communication, and presentation skills.

Nice to have

  • Master’s Degree or higher in a quantitative field.
  • Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques; financial products or regulated financial institution experience.

Tools

SQL, SAS, Python, Spark/Scala, Hadoop, Power Point, Word, Excel

AI focus

Supports BSA/AML compliance analytics; desired knowledge includes artificial intelligence techniques.

Model-written summary · the original posting is authoritative

First seen Oct 14, 2026 · Last verified Nov 6, 2026 (UTC)