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 developing scalable software components and analytical solutions while applying quantitative methods to meet regulatory and business objectives. Proficient in managing complex datasets and collaborating with cross-functional teams to enhance risk management capabilities.

Highest-signal resume keywords

Python ProgrammingSQL ExperienceAI Technologies ExposureQuantitative Analysis SkillsSoftware Development Lifecycle Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData AnalysisBig Data Pipeline DevelopmentQuantitative MethodsAnalytical Problem-Solving

Soft Skills

Stakeholder ManagementComplex Technical Communication

Tools & Technologies

APIsDatabases

Industry Keywords

Financial DataGovernanceSecurityObservabilityAuditability

Tech Stack

Tools & technologies

PythonSDLCSQL

About the role

Key responsibilities & impact

Design, develop, test, and implement common, reusable, and scalable software components
Apply quantitative methods to develop capabilities meeting line-of-business, risk-management, and regulatory requirements
Understand financial data, including schemas, flows, 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, technologists, process owners, data owners, Front Line Units, and Technology teams
Assess current-state processes, underlying data, process flows, and risks
Design and implement technical solutions for Global Risk Management data, testing, and analytical capabilities
Source, validate, and analyze large and complex datasets
Apply quantitative and analytical techniques to identify trends and assess risk
Develop and document scalable analytical solutions supporting business objectives, regulatory requirements, and operational efficiency
Support AI governance, security, observability, auditability, performance monitoring, 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, such as Python
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
Knowledge of software development lifecycle (SDLC) principles
Quantitative analysis and analytical problem-solving skills
Understanding of financial data, schemas, data flows, data size, data issues, and data controls
Ability to communicate complex technical concepts and manage stakeholders
Ability to work with process owners, data owners, Front Line Units, Technology teams, and other stakeholders
Understanding of governance, security, observability, and auditability requirements for AI-enabled solutions
Ability to work first 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
Resources and support to make an impact
Benefits eligible role
In-office flexibility based on role-specific responsibilities and business needs