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Quantitative Operations Manager

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Job Details
Job Order Number
JC201596732
Company Name
Bank of America
Physical Address

Chicago, IL 60684
Job Description

Quantitative Operations Manager

Plano, Texas;Chicago, Illinois; Atlanta, Georgia; Newark, Delaware; Dallas, Texas; Charlotte, North Carolina

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 packages

Required/Desired Skills:

5+ yrs experience required

Expert knowledge of classical statistical techniques such a linear regression and maximum likelihood regression

Expert 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 Tableau

Expertise in model development in either R or Python

Desired Skills:

PhD or Master’s Degree in engineering, applied mathematics, economics or statistics preferred;

Job Band:

H4

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly 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 packages

Required/Desired Skills:

5+ yrs experience required

Expert knowledge of classical statistical techniques such a linear regression and maximum likelihood regression

Expert 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 Tableau

Expertise in model development in either R or Python

Desired Skills:

PhD or Master’s Degree in engineering, applied mathematics, economics or statistics preferred;

Shift:

1st shift (United States of America)

Hours Per Week:

40

Learn more about this role

Full time

JR-22000846

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Pamela Salvato

Referral Bonus:

0

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the “EEO is the Law” poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the “EEO is the Law” Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP\EEO\Supplement\Final\JRF\QA\508c.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of America’s Drug-free workplace and alcohol policy, CLICK HERE .


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