Quantitative Engineer, Analyst

Bank of America

. Design, develop, test, and implement common, reusable, scalable software components .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $67,500 - $126,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and developing scalable software components and data pipelines, with a strong foundation in quantitative analysis and risk management. Proficient in Python programming and familiar with AI technologies, ensuring high-quality code and compliance with software development lifecycle principles.

Highest-signal resume keywords

Python ProgrammingBig Data Pipeline DevelopmentQuantitative AnalysisAI Technologies ExposureSQL and Database Experience

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

Software Development Lifecycle (SDLC)Data Quality Tools DevelopmentAnalytical TechniquesRisk ManagementData AnalysisClassification ModelsProcess OptimizationData Schema UnderstandingAutomationTesting Frameworks

Soft Skills

Analytical ThinkingCommunication SkillsStakeholder ManagementSound Judgment

Tools & Technologies

APIsLarge Language Models (LLMs)AI-Assisted Development Tools

Industry Keywords

Financial DataGovernanceSecurityObservabilityAuditabilityContinuous MonitoringStructured and Unstructured DataProcess FlowsData IssuesEmerging Risks

Tech Stack

Tools & technologies

PythonSDLCSQL

About the role

Key responsibilities & impact

Design, develop, test, and implement common, reusable, scalable software components
Develop generic data quality tools and domain-specific classification models or testing frameworks
Enable Global Risk Management’s data and analytical capabilities
Apply quantitative methods to meet line-of-business, risk-management, and regulatory requirements
Understand financial data, including schemas, flows, size, data issues, and controls
Build performant big data pipelines
Deliver high-quality code for model and testing processes using software development lifecycle principles
Collaborate with modelers, risk managers, technologists, process owners, data owners, Front Line Units, and Technology teams
Assess current-state processes, underlying data, process flows, controls, risks, and technology landscapes
Build domain-specific expertise in bank processes and data
Source, validate, and analyze large structured and unstructured datasets
Design scalable data pipelines and analytical solutions
Apply quantitative and analytical techniques to identify trends and assess risk
Support AI governance, security, observability, auditability, and continuous performance monitoring
Drive process optimization through testing, feedback loops, automation, and responsible AI adoption
Maintain and continuously enhance capabilities in response to changing portfolios, economic conditions, and emerging risks

Requirements

What you’ll need

Bachelor’s degree or above in Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, or equivalent work experience
Strong analytical thinking, quantitative analysis, and sound judgment
Strong communication and stakeholder management skills
Strong programming skills, including Python
Exposure to AI technologies, including large language models (LLMs), agentic AI concepts, or AI-assisted development tools
Experience with structured and unstructured data
Experience with SQL, APIs, and databases
Knowledge of software development lifecycle (SDLC) principles
Knowledge of software engineering, big data, data science, and risk management
Ability to understand business processes, controls, risks, data schemas, flows, sizes, and data issues
Ability to work with process owners, data owners, Front Line Units, Technology teams, and other stakeholders
Ability to understand governance, security, observability, auditability, and continuous monitoring requirements for AI-enabled solutions

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Paid time off
Resources and support for employees
Benefits eligibility