Where

Sr. Quantitative Financial Analyst

Bank of America
Charlotte Full-day Full-time

Description:

Job Description:

The Sr. Quantitative Financial Analyst is responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data
  • Mentor & Guide junior validators

Desired/Required skills:

  • Master's Degree + 8 years of experience or PhD + 5 years of experience
  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data

Job Band:

H4

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0 -->

Job Description:

The Sr. Quantitative Financial Analyst is responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data
  • Mentor & Guide junior validators

Desired/Required skills:

  • Master's Degree + 8 years of experience or PhD + 5 years of experience
  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data

Job Band:

H4

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:
The Sr. Quantitative Financial Analyst is responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data
  • Mentor & Guide junior validators

Desired/Required skills:

  • Master's Degree + 8 years of experience or PhD + 5 years of experience
  • Review and Validate Complex Predictive Models for conceptual soundness, quantitative rigor and to ensure they follow good modeling practices and are in compliance with the Enterprise Model Governance Policy, Guidelines, Testing Playbooks and Regulatory Requirements.
  • Analyze data using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
  • Research and analyze data using a variety of software programs, including R, SAS, Python, etc., and present findings to internal and external stakeholders
  • Present research results in reports, tables, and charts in the Initial Assessment report (IAR), Model Validation Report (MVR), Required Action Item Assessment (RAI Assessment), and Ongoing Monitoring Report reviews (OMR Reviews).
  • Collaborate cross-functionally to ensure compliance with processes and to create more effective model validation process.
  • Write structured, comprehensive validation reports for assessment of the models, and meeting regulatory requirements for independent model validation and effective challenge.
  • Develop alternative models by applying quantitative statistical analysis to internal and external data


Shift:

1st shift (United States of America)

Hours Per Week:

40
Oct 10, 2021;   from: careerbuilder.com

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