Global AML Operations – Client Quantitative Analyst I

Bank of America

. Support analytical work efforts for projects within a Line of Business or business discipline .

Posted 9/16/2026full-timeFlorida • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data extraction and analysis using SQL, SAS, Python, and Spark/Scala, while effectively communicating complex quantitative insights to both technical and non-technical stakeholders. Proficient in applying statistical methods and machine learning techniques to support compliance and enhance analytical capabilities.

Highest-signal resume keywords

SQL Data ExtractionSAS Data AnalysisPython ProgrammingMachine Learning TechniquesQuantitative Research

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ExtractionQuantitative AnalysisStatistical SamplingPredictive ModelingData ManipulationDatabase SystemsAnalytic ProcessesData TransformationHadoop ExperienceBSA/AML Compliance

Soft Skills

Strong Analytical SkillsTechnical WritingCommunication SkillsProblem-Solving SkillsPresentation Skills

Tools & Technologies

PowerPointWordExcelTableauRelational Database SystemsNon-Relational Database Systems

Industry Keywords

Data ScienceQuantitative ResearchBusiness AnalyticsFinancial AnalysisRisk Management

Tech Stack

Tools & technologies

HadoopPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Support analytical work efforts for projects within a Line of Business or business discipline
Extract client and performance data using SQL, SAS, Python, or Spark/Scala
Apply relational and non-relational database systems across on-premise and hybrid platforms
Connect and transform data from multiple sources into meaningful values and insights
Perform quantitative analysis on customer, transaction, and performance data
Conduct research, analytics, and exploration using appropriate data sources
Deliver actionable insights and summaries to business partners and leaders
Communicate complex subjects to technical and non-technical business partners using PowerPoint, Word, Excel, and Tableau
Conduct quality comparison checks and escalate data inconsistencies, gaps, or issues
Follow quality workflow and documentation requirements
Document and communicate quantitative methods to lines of business, risk managers, and technology stakeholders
Independently conduct quantitative analytics and develop innovative analytic processes
Apply quantitative methods to support BSA/AML compliance programs
Maintain and enhance analytical capabilities in response to changing risks, economic conditions, and client behavior

Requirements

What you’ll need

Ability to use data tools and techniques to find and deliver data from various sources of record
Proven communications skills in describing complex data to inform strategic insights and decisions
Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field
Coursework in finance, math/statistics and/or computer science
2+ years of experience in applied data science or quantitative research or related role
Strong analytical and problem-solving skills
Strong technical writing, communication and presentation skills
Ability to effectively communicate quantitative topics to non-technical audiences
Ability to manipulate data from structured and unstructured sources
Experience extracting and merging data from different database environments, including Hadoop
Ability to work effectively in a fast-paced high-consequence environment
Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
Experience gathering and communicating business requirements between technology product owners and engineering teams

Benefits

Comp & perks

Inclusive workplace commitment
Opportunities to learn, grow, and make an impact
Support for teammates’ physical, emotional, and financial wellness
Recognition and rewards for performance
In-office culture with role-specific flexibility
40 hours per week, 1st shift