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

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

Demonstrates expertise in designing and implementing scalable software components and AI-enabled solutions, with a strong focus on quantitative analysis, data architecture, and risk management principles. Proficient in Python and experienced in applying software development lifecycle principles to deliver high-quality code and optimize processes.

Highest-signal resume keywords

Python ProficiencyAI-Enabled Solutions DevelopmentQuantitative AnalysisData ArchitectureRisk Management Principles

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 LifecycleQuantitative MethodsBig Data PipelinesSQLAPIsData AnalysisPerformance OptimizationTesting FrameworksDesign PatternsData Integration

Soft Skills

Critical ThinkingEffective CommunicationStakeholder ManagementSound Judgment

Tools & Technologies

LLM PlatformsAgent FrameworksRAGMCP Patterns

Industry Keywords

Financial Data SchemasGovernance ControlsRegulatory RequirementsBanking ProcessesResponsible 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 line of business, risk management, and regulatory requirements
Understand financial data schemas, flow, 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, process owners, data owners, Front Line Units, Technology teams, and other stakeholders
Assess current-state processes, underlying data, process flows, and risks
Design and implement future-state technical solutions using traditional and AI-based approaches
Source, validate, and analyze large and complex datasets
Apply quantitative and analytical techniques to identify trends, assess risk, and enhance data architecture
Implement governance, security, observability, and auditability controls for AI-enabled solutions
Monitor performance and drive process optimization, testing, feedback loops, automation, and responsible AI adoption

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 sourcing, analyzing, and integrating data at scale
Knowledge of responsible AI practices, AI solution performance monitoring, testing, reliability measurement, scalability assessments, and continuous optimization
Knowledge of banking processes, risk management principles, and regulatory requirements
Critical thinking, quantitative analysis, and sound judgment
Effective communication and stakeholder management skills

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Industry-leading benefits
Paid time off
Resources and support to employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact