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Quantitative Finance Analyst
Bank of America. Conduct quantitative analytics and modeling projects for specific business units or risk types .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analytics, model development, and risk management, with proficiency in Python, Excel, and SQL for statistical analysis and reporting. Capable of providing technical guidance and maintaining compliance with regulatory requirements in financial markets.
Highest-signal resume keywords
Quantitative AnalyticsModel DevelopmentPython ProgrammingStatistical AnalysisRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Quantitative AnalyticsModel DevelopmentStatistical AnalysisPython ProgrammingSQL ScriptingExcelTechnical DocumentationMarket Risk Stress TestingData InterpretationModel Risk Management
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal SkillsTeam Collaboration
Industry Keywords
Risk ManagementFinancial MarketsRegulatory RequirementsMarket RiskCounterparty Risk
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Conduct quantitative analytics and modeling projects for specific business units or risk types
- Develop new models, analytic processes, or systems approaches
- Create technical documentation for related activities
- Work with Technology staff in designing systems to run developed models
- Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
- Support planning for quantitative work priorities aligned with bank strategy
- Identify continuous improvements through reviews, feedback, and challenges on model development and validation
- Support model development and model risk management in focus areas
- Provide methodological, analytical, and technical guidance on development and validation projects
- Communicate submission and validation outcomes with model stakeholders and senior management
- Perform statistical analysis on large datasets and interpret results
- Provide domain expertise for strategic risk initiatives, risk management, regulators, audit, model risk management, and technology teams
- Design strategic systems for Full Revaluation Risk, Reference Data, and Market Data
- Support strategic projects across Market Risk and Counterparty Risk domains
- Maintain and update existing risk systems
- Assist with regulatory requirements and improve processes for ongoing production
- Provide market risk model and systems support for Risk Managers, GRA, and external teams
Requirements
What you’ll need- Master’s degree in a related field or equivalent work experience
- 2–3 years of experience in Risk/Finance or a related discipline
- Degree in Statistics, Mathematics, Computer Science, Information Systems, Physics, or a related quantitative field
- Proven experience in a related quantitative occupation
- Experience with Python, Excel, and SQL scripting
- Strong documentation skills
- Excellent analytical and problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge of financial markets and risk management concepts
- 40 hours per week
- 1st shift (United States of America)
Benefits
Comp & perks- Affordable, competitive and flexible benefits
- Support for physical, emotional, and financial wellness
- Opportunities to learn, grow, and make an impact
- Annual discretionary incentive award eligibility
- Paid time off
- Resources and support to employees