Quantitative Engineer, Analyst

Bank of America

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable software components, applying quantitative methods for risk management, and utilizing AI technologies for data analysis. Proficient in building big data pipelines and ensuring compliance with governance and security standards.

Highest-signal resume keywords

Python ProgrammingBig Data Pipeline DevelopmentQuantitative AnalysisSoftware Development Lifecycle (SDLC)AI Technologies Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData EngineeringQuantitative MethodsAnalytical Solutions DevelopmentData AnalysisSoftware DevelopmentModel TestingProcess OptimizationData Validation

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationCritical Thinking

Tools & Technologies

APIsDatabasesAI Development ToolsLarge Language Models (LLMs)

Industry Keywords

Risk ManagementFinancial DataGovernanceSecurityContinuous 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, underlying data, process flows, controls, and risks
Build domain-specific expertise in bank processes and data
Develop and document scalable analytical solutions using programming, AI development patterns, and quantitative techniques
Source, validate, and analyze large and complex datasets
Apply data engineering and analytics to identify trends and assess risk
Address governance, security, observability, auditability, and continuous monitoring requirements for AI-enabled solutions
Drive process optimization through testing, feedback loops, automation, and responsible AI adoption
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 programming skills, including Python
Analytical and problem-solving skills
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
Quantitative analysis and sound judgment
Software development lifecycle (SDLC) knowledge
Communication and stakeholder management skills
Critical thinking, prioritization, attention to detail, change management, collaboration, and presentation skills
Ability to work 1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and build a career
Paid time off
Benefits eligibility
Base salary compensation
40-hour work week