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 designing and implementing scalable software components and data pipelines, with a strong focus on AI-enabled solutions and quantitative analysis. Proficient in Python and knowledgeable in banking processes, risk management, and regulatory compliance.

Highest-signal resume keywords

Python ProficiencyAI-Enabled Solutions DevelopmentData Pipeline DesignQuantitative AnalysisBanking Processes Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development Lifecycle (SDLC)Testing FrameworksDesign PatternsPerformance OptimizationSQLAPIsData AnalysisGovernance ControlsObservabilityAuditability

Soft Skills

Critical ThinkingQuantitative AnalysisCommunicationStakeholder Partnership BuildingSound Judgment

Tools & Technologies

LLM PlatformsAgent FrameworksRAGMCP PatternsBig Data Technologies

Industry Keywords

Risk ManagementRegulatory RequirementsFinancial Data SchemasData GovernanceResponsible 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, flows, sizes, 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, and risks
Design and implement future-state technology solutions using traditional and AI-based approaches
Source, validate, and analyze large and complex datasets
Design scalable data pipelines and analytical solutions
Implement governance, security, observability, and auditability controls for AI-enabled solutions
Monitor performance and drive process optimization, automation, testing, feedback loops, and responsible AI adoption
Build subject-matter expertise in bank processes, data, flows, and controls
Communicate technical designs and solution impacts to practitioners and senior executives

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
Knowledge of software development best practices, including 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 governance, security, observability, auditability, performance monitoring, testing, reliability measurement, scalability assessment, 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 40 hours per week on 1st shift in the United States of America

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Industry-leading benefits
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
Wellness support, including physical, emotional, and financial wellness