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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

GRA Consumer Production Operations has an opportunity for a Quantitative Finance Analyst within our Global Risk Analytics (GRA) function. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America.

GRA partners with the Lines of Business and Enterprise functions to ensure that models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.

Primary Responsibilities: 
•Executing Consumer models developed for loss forecasting, including credit card and auto models 
•Developing reporting solutions and analytics for key forecasting components (e.g., back-testing, sensitivity analysis) 
•Establishing procedures, process maps and controls for the end-to-end forecast production process
•Defining requirements for the Technology platform, performing user acceptance testing prior to models/processes being deployed into production
•Monitoring compute and storage usage of model runs, optimizing execution, as needed 
•Regularly collaborating with key stakeholders involved in the forecast production process, including Model Developers, Model Risk Management, Forecast Administrators, Technology, Lines of Business
•Constantly improving production processes toward operational excellence
 

Required Skills: 
•Master’s degree in a quantitative or financial field such as Finance, Economics, Mathematics, Engineering or other degree
•3-5 years of experience as a Quantitative Finance,/Risk Management experience

• Demonstrated experience with programming skills in SQL, Python
•Experience with Data Analytics tools (e.g., Alteryx, Tableau) 
•Advanced proficiency with Microsoft suite
•Strong analytical and problem-solving skills 
•Strong communication and presentation skills 

Desired Skills: 
•Broad understanding of financial products, markets and risks
•Effective at prioritization/time and project management
•Experience with project management (PM) best practice, familiar with PM tools such as JIRA
•Hands-on and detail oriented, exhibits a “can-do” attitude
•Experience with CCAR, CECL

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

GRA Consumer Production Operations has an opportunity for a Quantitative Finance Analyst within our Global Risk Analytics (GRA) function. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America.

GRA partners with the Lines of Business and Enterprise functions to ensure that models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.

Primary Responsibilities: 
•Executing Consumer models developed for loss forecasting, including credit card and auto models 
•Developing reporting solutions and analytics for key forecasting components (e.g., back-testing, sensitivity analysis) 
•Establishing procedures, process maps and controls for the end-to-end forecast production process
•Defining requirements for the Technology platform, performing user acceptance testing prior to models/processes being deployed into production
•Monitoring compute and storage usage of model runs, optimizing execution, as needed 
•Regularly collaborating with key stakeholders involved in the forecast production process, including Model Developers, Model Risk Management, Forecast Administrators, Technology, Lines of Business
•Constantly improving production processes toward operational excellence
 

Required Skills: 
•Master’s degree in a quantitative or financial field such as Finance, Economics, Mathematics, Engineering or other degree
•3-5 years of experience as a Quantitative Finance,/Risk Management experience

• Demonstrated experience with programming skills in SQL, Python
•Experience with Data Analytics tools (e.g., Alteryx, Tableau) 
•Advanced proficiency with Microsoft suite
•Strong analytical and problem-solving skills 
•Strong communication and presentation skills 

Desired Skills: 
•Broad understanding of financial products, markets and risks
•Effective at prioritization/time and project management
•Experience with project management (PM) best practice, familiar with PM tools such as JIRA
•Hands-on and detail oriented, exhibits a “can-do” attitude
•Experience with CCAR, CECL

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21078408

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Pamela Salvato

Referral Bonus:

0