Quantitative Finance Analyst

Bank of America

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

Posted 9/18/2026full-timeJersey City • New Jersey • United StatesJuniorMid-Level💰 $89,800 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, statistical modeling, and machine learning, with a strong ability to develop and validate complex models. Proficient in Python, SQL, and data visualization tools, while effectively communicating analytical outcomes to stakeholders.

Highest-signal resume keywords

Quantitative AnalysisStatistical ModelingMachine LearningPython ProficiencyData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingQuantitative AnalysisForecastingApplied StatisticsMachine LearningNLPDeep LearningData VisualizationModel DevelopmentModel Validation

Soft Skills

Business AnalysisDocumentation SkillsCommunication SkillsPrioritizationStakeholder Interaction

Tools & Technologies

PythonSQLSASRMATLABC/C++TableauPower BINoSQL DatabasesDistributed Computing

Industry Keywords

Market RiskWholesale Credit RiskStress TestingModel Risk ManagementFinancial Data Analysis

Tech Stack

Tools & technologies

NoSQLNumpyPandasPythonSQLTableauC++

About the role

Key responsibilities & impact

Conduct quantitative analytics and modeling projects for specific business units or risk types
Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
Develop wholesale credit risk models, including loss forecasting, commercial scorecards, behavioral scores, and regulatory capital models
Analyze wholesale credit performance and financial data
Prepare white papers for developed models
Interact with internal model risk management, address concerns, and remediate model-related findings
Support post-implementation activities, ongoing monitoring reviews, and stakeholder interactions
Conduct quantitative analytics and complex modeling projects independently when responsible
Develop new models, analytic processes, or system approaches
Create technical documentation and work with Technology staff on systems to run models
Perform statistical analysis on large datasets and interpret qualitative and quantitative results
Support quantitative work prioritization aligned with the bank's strategy
Identify continuous improvements through model development and validation reviews
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

Requirements

What you’ll need

Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative discipline
Minimum of 2 years of relevant experience
Strong STEM background
Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, and Data Visualization
Proficiency in Python (scikit learn, pandas, numpy etc.), SQL, SAS, R, MATLAB, and C/C++
Prior experience with SQL and NoSQL databases and distributed computing
Knowledge of data visualization tools such as Tableau and Power BI
Applied statistics skills, such as distributions, statistical testing, and regression
Strong business analysis and documentation skills, including requirements, process flows, and data lineage
Ability to manage multiple and competing priorities
Excellent written and verbal communication skills
Master's degree in related field or equivalent work experience

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Benefits eligible
Paid time off
Resources and support to employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact