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Quantitative Finance Analyst - Collateral Valuations

Company: Bank of America
Location: Newark
Posted on: January 13, 2022

Job Description:

Job Description:The Collateral Valuations team uses economic reasoning along with computational and statistical methods to analyze very large data sets in order to develop and manage models associated with the valuation of residential real estate. In this role, the associate will be responsible for interpreting analysis, leading and managing modeling efforts, and be actively involved in the documentation and governance of multiple model systems. The expectation is that a candidate will possess the ability to create sophisticated, value-added analytics to support risk management, operational efficiency, regulatory compliance, portfolio management, and market research. The associate must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) to support deployment of advanced techniques (e.g., statistical analysis, linear regression, regularization, machine learning etc.). The associate must also be able to clearly communicate how enterprise information products answer material banking questions to executives and stakeholders.Qualified candidates must be able to work independently to provide sound economic reasoning, statistical analysis and deliver high quality modeling insights as well as modeling documentation. The ideal candidate is self-directed, collaborative, analytical, and proactive in execution and problem resolution. Specific tasks include: Develop and design best in class models for valuation of Residential Real Estate.Develop and design best in class market intelligence applications that support decision making in the residential real estate space.Attend multiple model governance forums and present model results to an executive level audience.Develop ROI metrics and recruit funding for specific modeling initiatives related to business needs.Collaboration with Enterprise Model Risk Management to quickly and efficiently resolve outstanding issues and support documentation as required.Test new statistical tools and packagesRequired/Desired Skills:PhD or Master's Degree in engineering, applied mathematics, economics or statistics preferred; and 5+ yrs experience requiredExpert knowledge of classical statistical techniques such a linear regression and maximum likelihood regressionExpert knowledge of regularization methods (i.e. Ridge/LASSO/PCA) and machine learning (Classification Trees and Random Forests)Expertise in data analytics using both SQL and TableauExpertise in model development in either R or Python Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.Job Band:H5Shift:-- -1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 --> Job Description:The Collateral Valuations team uses economic reasoning along with computational and statistical methods to analyze very large data sets in order to develop and manage models associated with the valuation of residential real estate. In this role, the associate will be responsible for interpreting analysis, leading and managing modeling efforts, and be actively involved in the documentation and governance of multiple model systems. The expectation is that a candidate will possess the ability to create sophisticated, value-added analytics to support risk management, operational efficiency, regulatory compliance, portfolio management, and market research. The associate must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) to support deployment of advanced techniques (e.g., statistical analysis, linear regression, regularization, machine learning etc.). The associate must also be able to clearly communicate how enterprise information products answer material banking questions to executives and stakeholders.Qualified candidates must be able to work independently to provide sound economic reasoning, statistical analysis and deliver high quality modeling insights as well as modeling documentation. The ideal candidate is self-directed, collaborative, analytical, and proactive in execution and problem resolution. Specific tasks include: Develop and design best in class models for valuation of Residential Real Estate.Develop and design best in class market intelligence applications that support decision making in the residential real estate space.Attend multiple model governance forums and present model results to an executive level audience.Develop ROI metrics and recruit funding for specific modeling initiatives related to business needs.Collaboration with Enterprise Model Risk Management to quickly and efficiently resolve outstanding issues and support documentation as required.Test new statistical tools and packagesRequired/Desired Skills:PhD or Master's Degree in engineering, applied mathematics, economics or statistics preferred; and 5+ yrs experience requiredExpert knowledge of classical statistical techniques such a linear regression and maximum likelihood regressionExpert knowledge of regularization methods (i.e. Ridge/LASSO/PCA) and machine learning (Classification Trees and Random Forests)Expertise in data analytics using both SQL and TableauExpertise in model development in either R or Python Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.Job Band:H5Shift:-- -1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 Job Description: The Collateral Valuations team uses economic reasoning along with computational and statistical methods to analyze very large data sets in order to develop and manage models associated with the valuation of residential real estate. In this role, the associate will be responsible for interpreting analysis, leading and managing modeling efforts, and be actively involved in the documentation and governance of multiple model systems. The expectation is that a candidate will possess the ability to create sophisticated, value-added analytics to support risk management, operational efficiency, regulatory compliance, portfolio management, and market research. The associate must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) to support deployment of advanced techniques (e.g., statistical analysis, linear regression, regularization, machine learning etc.). The associate must also be able to clearly communicate how enterprise information products answer material banking questions to executives and stakeholders.Qualified candidates must be able to work independently to provide sound economic reasoning, statistical analysis and deliver high quality modeling insights as well as modeling documentation. The ideal candidate is self-directed, collaborative, analytical, and proactive in execution and problem resolution. Specific tasks include: Develop and design best in class models for valuation of Residential Real Estate.Develop and design best in class market intelligence applications that support decision making in the residential real estate space.Attend multiple model governance forums and present model results to an executive level audience.Develop ROI metrics and recruit funding for specific modeling initiatives related to business needs.Collaboration with Enterprise Model Risk Management to quickly and efficiently resolve outstanding issues and support documentation as required.Test new statistical tools and packagesRequired/Desired Skills:PhD or Master's Degree in engineering, applied mathematics, economics or statistics preferred; and 5+ yrs experience requiredExpert knowledge of classical statistical techniques such a linear regression and maximum likelihood regressionExpert knowledge of regularization methods (i.e. Ridge/LASSO/PCA) and machine learning (Classification Trees and Random Forests)Expertise in data analytics using both SQL and TableauExpertise in model development in either R or Python Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products. Shift:1st shift (United States of America) Hours Per Week:-- -40

Keywords: Bank of America, Newark , Quantitative Finance Analyst - Collateral Valuations, Accounting, Auditing , Newark, Delaware

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