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An established industry player is seeking a talented quantitative analyst to drive insights through data. In this role, you'll validate models, conduct complex analyses, and apply statistical methods using Python and R. You'll collaborate cross-functionally, ensuring compliance with model risk control procedures while making impactful contributions to financial projects. This position offers a unique opportunity to leverage your analytical skills in a dynamic environment, with the potential for remote work within a commutable distance. Join a team dedicated to making financial lives better and shaping the future of finance.
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Responsibilities :
Validate and challenge newly‐developed and existing models.
Communicate issues identified through validations to relevant businesses and governance and control functions.
Escalate model use breaches and remediation plans to relevant governance committees.
Conduct quantitative analytics and complex modeling projects.
Validate new and existing models, analytic processes or system approaches, create documentation for all activities, and work with technology staff in use of any system to run models developed.
Work cross‐functionally to enforce current model risk control procedures and serving as a subject matter expert to provide technical consultation to other analysts and to the MRM management for policy/procedure revisions/update.
Apply statistical methods and programming skills to extract, transform, and analyze large and complex data.
Perform quantitative analysis by using Python and R programming to apply stochastic calculus, statistical, and econometric models to the financial data.
Employ statistical models of linear regression, logistic regression, and time series analysis to estimate the relationships between outcome variables and risk factors, enabling accurate predictions and forecasts.
Apply computational methods to perform the numerical optimization for quantitative models and strategies with Python programming.
Conduct research regarding financial products and financial markets by leveraging information from academic papers and the data from financial platforms including Bloomberg, FactSet, and Morningstar.
Perform testing tasks for quantitative models and processes, automating the analytics and procedures, and visualizing the results by Python and VBA programming, to aid the efficiency and accuracy of work.
Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience :
Master's degree or equivalent in Finance, Statistics, Mathematics, Financial Mathematics, or related: and
2 years of experience in the job offered or a related Quantitative occupation.
Must include 2 years of experience in each of the following:
Applying statistical methods and programming skills to extract, transform, and analyze large and complex data;
Performing quantitative analysis by using Python and R programming to apply stochastic calculus, statistical, and econometric models to the financial data;
Employing statistical models of linear regression, logistic regression, and time series analysis to estimate the relationships between outcome variables and risk factors, enabling accurate predictions and forecasts;
Applying computational methods to perform the numerical optimization for quantitative models and strategies with Python programming;
Conducting research regarding financial products and financial markets by leveraging information from academic papers and the data from financial platforms including Bloomberg, FactSet, and Morningstar; and,
Performing testing tasks for quantitative models and processes, automating the analytics and procedures, and visualizing the results by Python and VBA programming, to aid the efficiency and accuracy of work.
Jersey City, NJ pay and benefits information
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