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BO

Bank of America

via Snagajob

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Officer, Quantitative Finance Analyst Officer, Quantitative Finance Analyst

Anywhere
Full-time
Posted 11/30/2025
Verified Source
Key Skills:
Quantitative modeling
Statistical analysis
Econometrics
Predictive modeling
Linear regressions
Machine Learning
Python
SQL
R
PySpark
Tableau
Alteryx
Jupyter Notebook
LaTeX

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Develop and apply quantitative models and analytics to assess financial risks, perform data analysis, and support regulatory and internal risk management.

Requirements

Master's degree in a quantitative field plus 1 year of experience in quantitative modeling, data analysis using Python, SQL, R, and visualization tools, and technical report writing with LaTeX.

Full Description

Officer, Quantitative Finance Analyst Bank of America 3.2 ( ) Charlotte, NC Why you should apply for a job to Bank of America : Ranked as one of the 56% say women are treated fairly and equally to men 74% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews A competitive benefits and programs have earned us recognition by Working Mother magazine for more than 30 years. Employee Financial Services offers U.S. employees financial education and special access to financial products, services and expertise. Offers comprehensive domestic partner benefits to U.S. employees and incorporate sexual orientation into non-discrimination policies. # JR-25046558 Position summary can build a successful career with opportunities to learn, grow, and make an impact. Join us! Responsibilities quantitative models and techniques in order to address and resolve concrete financial problems. Utilize advanced quantitative techniques and tools, such as, statistical analysis and linear regressions, as needed. Develop emerging risk assessments, analyze counterparty credit risk scenarios and model key risk factors. Conduct research and analysis to provide a micro view of risk management in a particular counterparty or country and a macro view of risk exposures for the bank. Assess market trends and provide quantitative data for internal stakeholders and regulators. quantitative knowledge to specific financial challenges and regulatory projects. Prepare developmental evidence and document to support internal requests and external regulatory exams. Perform in-depth analysis on the bank's risk model results using various quantitative tools including back testing, benchmarking, and sensitivity analysis. Perform counterparty exposure management techniques, such as potential future exposure, stress testing, and wrong way risk. Develop product-specific analytics to measure and monitor risk calculations. Coordinate efforts across teams and lines of business to enhance existing credit and market risk analysis tools. Perform quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, linear regressions, and Machine Learning. Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL, and R. Utilize Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks. Leverage data analytics and visualization tools including Tableau, Alteryx, R, and Jupyter Notebook to build easy-access analytical capabilities and insightful reporting for the management. Utilize Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders. Remote work may be permitted within a commutable distance from the worksite. Required Skills & Experience Master's degree or equivalent in Business Analytics, Mathematical Economics, Technology (any), Engineering, Statistics or related: and 1 year of experience in the job offered or a related Quantitative occupation. Must include 1 year of experience in: Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, linear regressions, and Machine Learning; Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL, and R; Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks; Leveraging data analytics and visualization tools including Tableau, Alteryx, R, and Jupyter Notebook to build easy-access analytical capabilities and insightful reporting for the management; and, Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders. If interested apply online at or email your resume to and reference the job title of the role and requisition number. EMPLOYER: Bank of America N.A. Shift: 1st shift (United States of America) Hours Per Week: 40 Learn more about this role Why you should apply for a job to Bank of America : Ranked as one of the 56% say women are treated fairly and equally to men 74% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews A competitive benefits and programs have earned us recognition by Working Mother magazine for more than 30 years. Employee Financial Services offers U.S. employees financial education and special access to financial products, services and expertise. Offers comprehensive domestic partner benefits to U.S. employees and incorporate sexual orientation into non-discrimination policies.

This job posting was last updated on 12/5/2025

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