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 developing scalable software components and AI-enabled solutions while applying quantitative methods to enhance data and analytical capabilities in financial contexts. Proficient in managing structured and unstructured data, ensuring compliance with risk management and regulatory standards.

Highest-signal resume keywords

Python ProficiencyAI-Enabled Solutions DevelopmentQuantitative AnalysisSoftware Development Lifecycle (SDLC)Banking Processes Knowledge

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 Best PracticesData AnalysisPerformance OptimizationSQLAPIsTesting FrameworksDesign PatternsBig-Data Pipeline DevelopmentGovernance and Security ControlsContinuous Optimization

Soft Skills

Critical ThinkingQuantitative AnalysisCommunication SkillsStakeholder Partnership BuildingSound Judgment

Tools & Technologies

LLM PlatformsAgent FrameworksRAG PatternsMCP PatternsData Integration Tools

Industry Keywords

Risk Management PrinciplesRegulatory RequirementsFinancial Data SchemasData GovernanceAI Performance Monitoring

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, flows, scale, 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, data, process flows, and risks, and design future-state technology solutions
Develop domain-specific subject matter expertise in bank processes and data
Build, document, and deploy scalable analytical and AI-enabled solutions
Source, validate, and analyze large structured and unstructured 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

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
Experience with 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 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
Ability to communicate complex technical concepts and build stakeholder partnerships
Ability to work 1st shift, 40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support for employees
In-office flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and make an impact
Inclusive workplace and career development support