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Sr Quantitative Fin Analyst

Charlotte, North Carolina;

Job Description:

Overview of Global Risk Analytics
Bank of America Merrill Lynch has an opportunity for a Senior Quantitative Finance Analyst (B4) within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). 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 its 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. 

Overview of the Team
Overview of Enterprise Risk Analytics
As a part of Global Risk Analytics (GRA), Enterprise Risk Analytics (ERA) is responsible for the development of cross-business holistic analytical models and tools. ERA consists of the following teams: 
•    Economic Scenario Generation (ESG) provides consistent and granular scenario generation capabilities for economic and market variables that enable multiple “what-if” outcomes for government regulators and other business uses. 
•    Enterprise Portfolio Analytics (EPA) provides portfolio surveillance visualization tools, utilizing advanced analytics (artificial intelligence/machine learning/natural language processing), to provide decision making support around the credit cycle, geo-intelligence, and thematic “what-if” analyses. EPA’s tools also support Enterprise strategic risk appetite and limits decisions for the bank’s risk and capital frameworks. 
•    Concentration Risk provides capital estimates to support annual regulatory requirements and legal entity-level capital management using tools and techniques focused on identification, measurement, and mitigation of concentration risks across countries, regions, sectors, and industries. 
•    Enterprise Capital Risk Analytics manages model performance monitoring and capital model issue resolution. 
•    Compliance Modelling & Analytics supports Enterprise needs around Fair Lending and Global Financial Crimes Compliance. 
•    Central Quantitative Group (CQG) provides sophisticated quantitative solutions for ERA clients. The group often partners with other teams within and outside GRA to provide these solutions.
•    Industry Research performs fundamental research on relevant sector themes and supports industry specific macro variable generation

Overview of the Role
As a Senior Quantitative Finance Analyst on the Economic Scenario Generation (ESG) team, your main responsibilities will involve:

•    Independent end-to-end model development, including but not limited to design, implementation, documentation, and validation of macro/financial forecasting models.
•    Support of regular scenario production process through design and implementation of model changes and/or overrides, and active participation in the review and challenge process
•    Ensure appropriate monitoring and documentation of model output
•    Timely and effective resolution of required action items, recommendations, and required development reviews
•    Maintain code base of high quality code base, and act as thought leader to ensure same for team’s code base
•    Support development of junior quantitative staff

Position Overview
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.

Required Education, Skills, and Experience
Successful candidates will have a Masters or PhD in Math, Economics, Statistics, or similar discipline, and a minimum 5 years relevant experience. 

Successful candidates will possess the following skills:

• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to effectively presents findings, data, and conclusions to influence senior leaders
• Strong programming skills, e.g. Python, SAS, MATLAB or similar language
• Strong analytical and problem-solving skills


Desired Skills and Experience
The ideal candidate will possess the following skills and experience

• Solid understanding of Macroeconomics, and experience with time series modelling techniques
• Experience with core GRA Model Development Tools (BitBucket, Horizon, PyCharm, JIRA, GRADOC)
• Broad experience in the design, implementation, and validation of risk models
• Good understanding of current US regulatory environment, including but not limited to CECL and CCAR

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Overview of Global Risk Analytics
Bank of America Merrill Lynch has an opportunity for a Senior Quantitative Finance Analyst (B4) within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). 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 its 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. 

Overview of the Team
Overview of Enterprise Risk Analytics
As a part of Global Risk Analytics (GRA), Enterprise Risk Analytics (ERA) is responsible for the development of cross-business holistic analytical models and tools. ERA consists of the following teams: 
•    Economic Scenario Generation (ESG) provides consistent and granular scenario generation capabilities for economic and market variables that enable multiple “what-if” outcomes for government regulators and other business uses. 
•    Enterprise Portfolio Analytics (EPA) provides portfolio surveillance visualization tools, utilizing advanced analytics (artificial intelligence/machine learning/natural language processing), to provide decision making support around the credit cycle, geo-intelligence, and thematic “what-if” analyses. EPA’s tools also support Enterprise strategic risk appetite and limits decisions for the bank’s risk and capital frameworks. 
•    Concentration Risk provides capital estimates to support annual regulatory requirements and legal entity-level capital management using tools and techniques focused on identification, measurement, and mitigation of concentration risks across countries, regions, sectors, and industries. 
•    Enterprise Capital Risk Analytics manages model performance monitoring and capital model issue resolution. 
•    Compliance Modelling & Analytics supports Enterprise needs around Fair Lending and Global Financial Crimes Compliance. 
•    Central Quantitative Group (CQG) provides sophisticated quantitative solutions for ERA clients. The group often partners with other teams within and outside GRA to provide these solutions.
•    Industry Research performs fundamental research on relevant sector themes and supports industry specific macro variable generation

Overview of the Role
As a Senior Quantitative Finance Analyst on the Economic Scenario Generation (ESG) team, your main responsibilities will involve:

•    Independent end-to-end model development, including but not limited to design, implementation, documentation, and validation of macro/financial forecasting models.
•    Support of regular scenario production process through design and implementation of model changes and/or overrides, and active participation in the review and challenge process
•    Ensure appropriate monitoring and documentation of model output
•    Timely and effective resolution of required action items, recommendations, and required development reviews
•    Maintain code base of high quality code base, and act as thought leader to ensure same for team’s code base
•    Support development of junior quantitative staff

Position Overview
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.

Required Education, Skills, and Experience
Successful candidates will have a Masters or PhD in Math, Economics, Statistics, or similar discipline, and a minimum 5 years relevant experience. 

Successful candidates will possess the following skills:

• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to effectively presents findings, data, and conclusions to influence senior leaders
• Strong programming skills, e.g. Python, SAS, MATLAB or similar language
• Strong analytical and problem-solving skills


Desired Skills and Experience
The ideal candidate will possess the following skills and experience

• Solid understanding of Macroeconomics, and experience with time series modelling techniques
• Experience with core GRA Model Development Tools (BitBucket, Horizon, PyCharm, JIRA, GRADOC)
• Broad experience in the design, implementation, and validation of risk models
• Good understanding of current US regulatory environment, including but not limited to CECL and CCAR

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22002122

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0