Client Quantitative Analyst I

Bank of America

. Support analytical work efforts and projects within a line of business or business discipline .

Posted 9/28/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data extraction, integration, and analysis using SQL, Python, and advanced analytical techniques. Capable of communicating complex findings to diverse audiences while adhering to regulatory compliance and quality standards.

Highest-signal resume keywords

SQL Data ExtractionPython ProgrammingData Integration and ManipulationQuantitative AnalysisPresentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical SamplingMachine LearningPredictive ModelingData Quality AssuranceHadoopAI Coding AgentsData TransformationQuantitative ResearchAnalytical Techniques

Soft Skills

Problem-SolvingCollaborationTime ManagementIntellectual CuriosityCreative Problem-Solving

Tools & Technologies

SASSpark/ScalaTableauPowerPointExcelWord

Industry Keywords

Financial ProductsRegulatory ComplianceBusiness ContinuityGovernanceAuditability

Tech Stack

Tools & technologies

HadoopPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Support analytical work efforts and projects within a line of business or business discipline
Extract client, transaction, and performance data using SQL, SAS, Python, Spark/Scala, and database systems
Connect, integrate, transform, validate, and manage data from multiple internal and external sources
Perform quantitative analysis to identify trends, answer business questions, and provide actionable insights
Research data sources, execute established methodologies, and deliver results according to requirements and timelines
Communicate complex analytical findings and recommendations to technical and non-technical audiences through presentations, reports, dashboards, and business communications
Use PowerPoint, Word, Excel, and Tableau to present analytical outputs
Conduct quality assurance and comparison checks, identify data inconsistencies and quality issues, and escalate concerns to leadership
Follow governance, documentation, workflow, quality-control, auditability, business continuity, and regulatory compliance standards
Partner with business stakeholders, analysts, supervisors, managers, and technology teams to understand priorities and deliver agreed-upon work

Requirements

What you’ll need

2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field
Experience using SQL, Python, and AI coding agents
Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop
Strong analytical and problem-solving skills
Strong written, verbal, and presentation skills
Ability to communicate complex analytical concepts and findings to technical and non-technical audiences
Ability to collaborate with business partners, analysts, and technology teams in a fast-paced, highly regulated environment
Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline, or equivalent experience applying data, analytics, and quantitative problem-solving skills (desired)
Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, artificial intelligence, and related quantitative methods (desired)
Broad understanding of financial products and experience supporting highly regulated initiatives within a large, complex financial institution (desired)
Experience gathering, documenting, and communicating business requirements between business stakeholders, technology product owners, and engineering teams (desired)
Effective prioritization, time management, and project management skills (desired)
Intellectual curiosity and commitment to continuous learning (desired)
Innovative ideas and diverse perspectives for creative problem-solving and business improvement (desired)
Values diversity and inclusion and fosters a collaborative team environment (desired)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
In-office flexibility based on role-specific responsibilities and business needs