Quantitative Finance Analyst

Bank of America

. Conduct quantitative analytics and modeling projects for business units or risk types .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $89,800 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analytics, model development, and risk management, with a strong focus on Python and SQL for data-driven solutions. Proven ability to communicate complex results and collaborate across diverse teams to enhance operational efficiency and compliance.

Highest-signal resume keywords

Advanced Python ProgrammingStrong SQL SkillsQuantitative AnalyticsModel Risk ManagementRegulatory Forecasting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalyticsModel DevelopmentStatistical AnalysisData EngineeringStress TestingForecastingRoot Cause AnalysisData TransformationModel ValidationOperational Risk

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention to DetailCommunication SkillsOrganizational Skills

Tools & Technologies

PythonSQLExcelTableauAlteryxGCP

Industry Keywords

Financial ServicesGovernanceComplianceAuditOperational Excellence

Tech Stack

Tools & technologies

Google Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Conduct quantitative analytics and modeling projects for business units or risk types
Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
Support quantitative work prioritization aligned with the bank’s strategy
Review model development and validation decisions, documentation, and risks for continuous improvement
Support model development and model risk management
Provide methodological, analytical, and technical guidance to challenge and influence development and validation projects
Communicate submission and validation outcomes to model stakeholders and senior management
Perform statistical analysis on large datasets and interpret qualitative and quantitative results
Design, develop, and support Python-based solutions for forecasting, stress testing, and model execution
Build and maintain data sourcing, transformation, monitoring, reporting, and post-model workflows using Python and Excel
Develop scalable Python and SQL solutions to improve efficiency, controls, and operational risk
Investigate production issues, perform root cause analysis, and implement sustainable solutions with technology and business teams
Translate business requirements into technical solutions
Support model onboarding, enhancements, GCP migrations, and production implementations across the SERA portfolio
Validate model inputs, outputs, and downstream reporting
Maintain process documentation, operational procedures, controls, and governance artifacts for regulatory and audit requirements
Streamline workflows and improve production stability
Participate in release testing, implementations, and quarterly and monthly forecast production cycles
Contribute to knowledge sharing, continuous improvement, and operational excellence

Requirements

What you’ll need

Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, Information Systems, or a related quantitative discipline, or equivalent work experience
4+ years of professional experience in software development, data engineering, analytics, or model operations
Advanced Python programming experience designing, developing, troubleshooting, and supporting production-grade solutions
Strong SQL skills with experience querying and validating large datasets
Strong analytical and problem-solving skills
Ability to learn complex business processes and understand interactions among systems, models, and data flows
Ability to operate in a fast-paced environment with competing priorities and time-sensitive deliverables
Strong attention to detail and ownership of work products
Excellent verbal and written communication skills
Ability to collaborate across technology, quantitative, operational, and business teams
Strong organizational skills and ability to manage multiple initiatives simultaneously
Experience supporting regulatory forecasting, stress testing, model execution, or financial risk management processes
Experience with Tableau, Alteryx, or other visualization and reporting tools is desired
Understanding of governance, controls, audit, and compliance requirements within financial services is desired

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Paid time off
Annual discretionary incentive plan eligibility
Opportunities to learn, grow, and build a career