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Bank of America

Quantitative Engineer

Bank of America

. Build subject matter expertise in bank processes, underlying data, flows, and controls .

Posted 11/3/2026full-timeUnited StatesJuniorMid-Level💰 $90,000 - $155,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in software engineering, risk management, and data science to design and implement scalable analytical solutions. Proficient in Python and experienced in developing AI-enabled solutions while ensuring compliance with banking processes and regulatory requirements.

Highest-signal resume keywords
Python ProficiencySoftware Development Best PracticesAI-Enabled Solutions DevelopmentQuantitative AnalysisRisk Management Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringData ScienceQuantitative FinanceData EngineeringAnalytical Solutions DesignData PipelinesSQLAPIsPerformance OptimizationTesting Frameworks
Soft Skills
CommunicationStakeholder Partnership Building
Tools & Technologies
LLM PlatformsAgent FrameworksRAGMCP PatternsGovernance ControlsSecurity ControlsObservability ToolsAuditability Tools
Industry Keywords
Banking ProcessesRisk ManagementRegulatory RequirementsOperational EfficiencyComplex Datasets

Tech Stack

Tools & technologies
PythonSDLCSQL

About the role

Key responsibilities & impact
  • Build subject matter expertise in bank processes, underlying data, flows, and controls
  • Drive technology evolution in Global Risk Management processes
  • Design and implement technical solutions using modular, reusable software components
  • Collaborate with process owners, risk managers, technologists, data owners, Front Line Units, Technology teams, and other stakeholders
  • Assess current-state processes, data, process flows, and risks
  • Design future-state technology solutions leveraging traditional and AI-based solutions
  • Apply software engineering, big data, data science, and risk management skills to implement technical solutions
  • Apply risk management principles and sound judgment to determine appropriate technical designs
  • Communicate technical designs and solution impacts to practitioners and senior executives
  • Design, build, document, and deploy scalable analytical solutions supporting business objectives, regulatory requirements, and operational efficiency
  • Source, validate, and analyze data across large and complex datasets
  • Design scalable data pipelines and analytical solutions
  • Identify trends, assess risk, and enhance the firm’s data architecture
  • Implement governance, security, observability, and auditability controls for AI-enabled solutions
  • Monitor performance and drive process optimization 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
  • 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
  • Knowledge of banking processes, risk management principles, and regulatory requirements
  • Experience with quantitative analysis, data engineering, analytics, data pipelines, and large and complex datasets
  • Knowledge of AI governance, security, observability, auditability, performance monitoring, testing, reliability measurement, and scalability assessments
  • Ability to communicate complex technical concepts to different audiences and build stakeholder partnerships
  • 40 hours per week availability
  • 1st shift availability in the United States of America

Benefits

Comp & perks
  • Discretionary incentive eligible; eligible to participate in the annual discretionary plan
  • Annual discretionary award based on individual performance, line of business/group performance, and Company success
  • Benefits eligible
  • Paid time off
  • Resources and support for employees
  • Opportunities to learn, grow, and make an impact
  • Support for physical, emotional, and financial wellness through affordable, competitive and flexible benefits