Atlanta, Georgia

Job Description:

Overview of Global Risk Analytics
Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst (B5) 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

Overview of the Role
As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:
• Running and customizing models, quantitative analytic processes or systems approaches
• Monitoring, reporting and improving existing models performance
• Model implementation include coding, QA and back testing.
• Cooperate with the team on scenario generation processes by following rigorous operational procedures, checking and quality control of the generated results
• Create documentation for all activities and works with Technology staff in design of any system to run models developed
Position Overview
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.

Required Education, Skills, and Experience
• Strong quantitative background with at least Masters in Statistics, Mathematics, Engineering or a related field
• Strong programming skills in languages such as SAS, R, Python, SQL, Matlab
• Proven knowledge of advanced statistics including predictive modeling, statistical sampling, and optimization.
• Ability to multitask and work under pressure to meet timelines
• Strong technical writing, communication, and presentation skills
• Excellent quantitative/analytic skills and a broad knowledge of financial markets and products
• Strong analytical skills with statistical and econometric background
• Ability to run models, review results, diagnose problems, and communicate with other team members
Desired Skills and Experience
1-3+ years of experience working in model development, data analytics, or quantitative research
• Ability to effectively communicate quantitative topics with non-technical audiences
• Sense of focus and rigor in the completion of deliverables
• Broad financial product knowledge

Job Band:
H5

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 Quantitative Finance Analyst (B5) 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

Overview of the Role
As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:
• Running and customizing models, quantitative analytic processes or systems approaches
• Monitoring, reporting and improving existing models performance
• Model implementation include coding, QA and back testing.
• Cooperate with the team on scenario generation processes by following rigorous operational procedures, checking and quality control of the generated results
• Create documentation for all activities and works with Technology staff in design of any system to run models developed
Position Overview
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.

Required Education, Skills, and Experience
• Strong quantitative background with at least Masters in Statistics, Mathematics, Engineering or a related field
• Strong programming skills in languages such as SAS, R, Python, SQL, Matlab
• Proven knowledge of advanced statistics including predictive modeling, statistical sampling, and optimization.
• Ability to multitask and work under pressure to meet timelines
• Strong technical writing, communication, and presentation skills
• Excellent quantitative/analytic skills and a broad knowledge of financial markets and products
• Strong analytical skills with statistical and econometric background
• Ability to run models, review results, diagnose problems, and communicate with other team members
Desired Skills and Experience
1-3+ years of experience working in model development, data analytics, or quantitative research
• Ability to effectively communicate quantitative topics with non-technical audiences
• Sense of focus and rigor in the completion of deliverables
• Broad financial product knowledge

Job Band:
H5

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 Quantitative Finance Analyst (B5) 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

Overview of the Role
As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:
• Running and customizing models, quantitative analytic processes or systems approaches
• Monitoring, reporting and improving existing models performance
• Model implementation include coding, QA and back testing.
• Cooperate with the team on scenario generation processes by following rigorous operational procedures, checking and quality control of the generated results
• Create documentation for all activities and works with Technology staff in design of any system to run models developed
Position Overview
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.

Required Education, Skills, and Experience
• Strong quantitative background with at least Masters in Statistics, Mathematics, Engineering or a related field
• Strong programming skills in languages such as SAS, R, Python, SQL, Matlab
• Proven knowledge of advanced statistics including predictive modeling, statistical sampling, and optimization.
• Ability to multitask and work under pressure to meet timelines
• Strong technical writing, communication, and presentation skills
• Excellent quantitative/analytic skills and a broad knowledge of financial markets and products
• Strong analytical skills with statistical and econometric background
• Ability to run models, review results, diagnose problems, and communicate with other team members
Desired Skills and Experience
1-3+ years of experience working in model development, data analytics, or quantitative research
• Ability to effectively communicate quantitative topics with non-technical audiences
• Sense of focus and rigor in the completion of deliverables
• Broad financial product knowledge

Shift:
1st shift (United States of America)

Hours Per Week:
40
Learn more about this role

Atlanta, Georgia

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As a leader in the military, you motivated troops to get the job done. We value your ability to influence change and encourage you to continue that influence here and in our communities. Our Military Affairs Team proudly supports veterans in our communities through education and volunteer events. Together, we can create better communities and a brighter future for us all. 

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