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Quantitative Engineer
Bank of America. Build subject matter expertise in bank processes, underlying data, flows, and controls .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesPythonSDLCSQL
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