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Global AML Operations – Client Quantitative Analyst I
Bank of America. Support analytical work efforts for projects within a line of business or business discipline .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analysis and data extraction using SQL, SAS, Python, and Spark/Scala, while effectively communicating complex data insights to both technical and non-technical stakeholders. Proven ability to support BSA/AML compliance programs and enhance analytical capabilities in dynamic environments.
Highest-signal resume keywords
SQL Data ExtractionSAS Data AnalysisPython ProgrammingQuantitative ResearchBSA/AML Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisQuantitative MethodsData ManipulationStatistical AnalysisDatabase Knowledge
Soft Skills
Strong Communication SkillsProblem-Solving SkillsTechnical Writing SkillsPresentation Skills
Tools & Technologies
PowerPointWordExcelTableauHadoop
Industry Keywords
Data ScienceQuantitative ResearchPerformance DataClient DataData Quality
Tech Stack
Tools & technologiesHadoopPythonScalaSparkSQLTableau
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 knowledge across on-premise and off-premise hybrid platforms
- Connect and transform data across multiple sources into meaningful values and insights
- Perform quantitative analysis on customer, transaction, and performance data
- Conduct research, analytics, and data exploration to produce deliverables
- 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, quantitative research, or a related role
- Strong analytical and problem-solving skills
- Strong technical writing, communication, and presentation skills
- Ability to 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
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 flexibility based on role-specific considerations