Quantitative Engineer

Bank of America

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

Posted 9/18/2026full-timeCharlotte • New Jersey • United StatesJuniorMid-Level💰 $90,000 - $155,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering, particularly in developing AI-enabled solutions and big data pipelines, while applying quantitative methods to meet business and regulatory requirements. Proficient in Python and skilled in collaborating with cross-functional teams to enhance data and analytical capabilities.

Highest-signal resume keywords

Python ProficiencyAI-Enabled Solutions DevelopmentBig Data Pipeline ConstructionQuantitative Analysis ApplicationBanking Processes Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development Best PracticesSQLData SourcingData AnalysisPerformance OptimizationTesting FrameworksDesign PatternsStructured DataUnstructured DataRegulatory Requirements

Soft Skills

Communication of Technical ConceptsStakeholder Partnership BuildingStructured ThinkingSound Judgment

Tools & Technologies

APIsLLM PlatformsAgent FrameworksRAG PatternsMCP Patterns

Industry Keywords

Quantitative FinanceRisk ManagementGovernance ControlsSecurity ControlsObservability ControlsAuditability ControlsResponsible AI Practices

Tech Stack

Tools & technologies

PythonSDLCSQL

About the role

Key responsibilities & impact

Design, develop, test, and implement common, reusable, and scalable software components
Enable Global Risk Management’s data and analytical capabilities
Apply quantitative methods to meet business, risk management, and regulatory requirements
Understand financial data schemas, flows, scale, issues, and controls
Build performant big data pipelines
Deliver high-quality code for model and testing processes
Collaborate with modelers, risk managers, technologists, process owners, data owners, Front Line Units, and Technology teams
Assess current-state processes, data, flows, and risks and design future-state technology solutions
Develop and deploy scalable analytical solutions using software engineering, big data, data science, risk management, and AI patterns
Source, validate, and analyze large and complex datasets
Implement governance, security, observability, and auditability controls for AI-enabled solutions
Monitor performance, drive process optimization, and enhance solutions through testing, feedback loops, automation, and responsible AI adoption
Build subject matter expertise in bank processes, underlying data, flows, and controls

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
At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries
Proficiency in Python and software development best practices
Knowledge of SDLC, testing frameworks, design patterns, and performance optimization
Experience developing AI-enabled solutions using modern LLM platforms, agent frameworks, RAG, and MCP patterns
Strong experience with structured and unstructured data, SQL, APIs, and databases
Experience with data sourcing, analysis, and integration at scale
Knowledge of responsible AI practices and AI solution performance monitoring
Knowledge of banking processes, risk management principles, and regulatory requirements
Ability to apply quantitative analysis, structured thinking, and sound judgment
Ability to communicate complex technical concepts and build stakeholder partnerships
Ability to work 40 hours per week on 1st shift in the United States of America

Benefits

Comp & perks

In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact
Affordable, competitive, and flexible benefits
Support for physical, emotional, and financial wellness
Paid time off
Resources and support to make an impact
Eligibility for annual discretionary incentive award based on performance and company results