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Bank of America
Bank of America
H1B Visa SponsorBankingFinanceFintech
Bank of America is a global financial institution operating across banking, finance, and fintech. Its services include personal banking, small-business support, wealth management, investment services, and access to capital markets for individuals, businesses, and institutions. The company also focuses on responsible growth through sustainable finance, diversity initiatives, and community development programs.
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Quantitative Finance Analyst, Risk and Capital Models

Bank of America is seeking a Quantitative Finance Analyst to develop and oversee risk and capital models supporting Retail and GWIM businesses. The role applies machine learning, statistical analysis, stress testing, and model governance in regulated financial decision-making.

USUnited StatesNJNew JerseyNCNorth Carolina
$89,800 – $155,000 / year
On-siteFull-timeJuniorMiddleEnglish RequiredFinancial Planning and Analysis
HDFSJenkinsPySparkPythonScikit-LearnSparkSQL

Description

  • Lead quantitative analytics and modeling initiatives across designated business units and risk areas.
  • Design models, analytical processes, and systems approaches.
  • Prepare technical and quantitative documentation.
  • Partner with Technology teams to design systems for operating developed models.
  • Execute end-to-end market risk stress testing, from scenario design and implementation through results consolidation, reporting, and analysis.
  • Help plan and prioritize quantitative work in support of the bank’s strategy.
  • Identify improvements by reviewing model development and validation decisions, technical documentation, and challenge processes.
  • Support model development and model risk management in line with business needs and enterprise risk appetite.
  • Provide methodological, analytical, and technical guidance across development and validation initiatives.
  • Coordinate with model stakeholders and senior leaders on submission and validation results.
  • Analyze large datasets statistically and interpret findings through qualitative and quantitative methods.
  • Develop and maintain risk and capital models and supporting systems for Retail and GWIM products.
  • Design, implement, maintain, enhance, and integrate quantitative solutions on strategic GRA platforms.
  • Develop quantitative capabilities for risk and capital management.
  • Enhance infrastructure, code efficiency, quantitative functionality, and computational resource use.
  • Support model execution in partnership with the Technology team.
  • Work with Enterprise Model Risk Management on validations and issue remediation.
  • Serve as a subject matter expert in quantitative modeling methods.
  • Monitor model performance, model risk, and governance across critical model portfolios.

Requirements

  • Master’s degree in a related discipline or equivalent professional experience.
  • At least two years of relevant experience in statistics, data science, machine learning, model development, or quantitative analysis.
  • Experience with data analysis, statistical estimation, machine learning development, implementation, testing, performance assessment, and model documentation.
  • Strong Python and SQL programming skills, along with related quantitative or data science libraries.
  • Experience handling large, complex datasets, including extraction, transformation, validation, feature engineering, and quality review with SQL-based tools.
  • Experience with HDFS, Hive, Spark, PySpark, and distributed data-processing environments.
  • Practical experience developing machine learning or AI models with Python frameworks such as scikit-learn, XGBoost, LightGBM, Random Forest, or comparable ensemble methods.
  • Knowledge of model explainability and transparency methods, including SHAP, feature importance, partial dependence, or interpretable models.
  • Ability to connect quantitative results to business considerations involving residential property valuation, collateral risk, mortgage or home equity decision support, and model governance.
  • Experience producing quantitative documentation, with technical writing skills and familiarity with LaTeX or comparable tools.
  • Strong analytical and problem-solving capabilities, with the ability to work independently.
  • Ability to communicate quantitative analyses, model findings, and recommendations to technical and non-technical audiences.
  • Ability to work in the United States of America.
  • Preferred: experience with CI/CD and software engineering tools such as Git, JIRA, Confluence, Pytest, Jenkins, SonarQube, and code review practices.
  • Preferred: knowledge of residential real estate, housing markets, appraisal, mortgage origination or servicing, home equity lending, collateral risk management, and related economic factors.
  • Preferred: familiarity with model risk management, regulatory expectations, governance processes, CCAR, CECL, consumer credit risk, or regulated banking model development.

Benefits

  • Eligibility for an annual discretionary incentive plan.
  • Eligibility for employee benefits.
  • Paid time off.
  • Employee resources and support.
  • In-office work culture with role-specific flexibility.
  • Opportunities for learning, professional growth, and meaningful impact.

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