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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

Job Description:
What would you like the power to do?
Bank of America’s Global Risk Analytics (GRA) organization has a high impact opportunity for a Senior Consumer Credit Risk Analyst within its Consumer Loss Forecasting (CLF) team.


The GRA group is a quantitative group which delivers models, tools, and analysis needed to effectively manage Risk and Capital. The CLF team provides insights via credit loss forecasts and related portfolio, model and forecast analytics on Bank of America’s nearly $500 billion consumer loan portfolio (including Mortgages, Credit Cards, and Auto loans).

This role plays a critical part in the Bank’s stress testing, financial planning, and risk management activities. It requires a strong understanding of economics, credit, markets and finance with the ability to apply those concepts to data analysis, combining business acumen with analytical skills to asses risk and drive well-informed management decisions.

The Quantitative Finance Analyst interacts with a wide variety of stakeholders including risk managers, model developers, operations, technology, finance, and capital. The Analyst will identify, organize and execute on the strategic change efforts across the forecasting team including new model deployment and analytical capability development.

New model deployment includes:

• Comprehensive use-case planning, testing and analysis
• Tactical build-out of required management information which aide in understanding model performance
• Creation of thorough testing plans
• Identifying requirements needed from key stakeholders

Analytical capability development includes:

• Identifying needs and requirements from the CLF team which improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy and forecast reasonability
• Identifying new topics for analytical inquiry
• Organizing across teams to ensure need fulfillment
• Research statistical methods (e.g. machine learning methods), directly conduct analysis and develop methodologies that enable analytical insight discovery and application in credit risk management space.

Each of these responsibilities require strong written and verbal communication skills, influencing resources from other teams, and the ability to identify core implications and connections within complex issues.

Required Skills:

• Masters' Degree with 2 years of non-internship experience, PhD preferred.
• Experience in Credit, Market, or Economic Analysis with a demonstrated track record of generating and communicating insights which improve performance and understanding
• Strong business and financial acumen
• Attention to detail coupled with ability to simplify the complex
• Experience in data science and analysis, with excellent analytical skills
• Experience in data science python/pyspark libraries
• Strong written/oral communication skills, with the ability to adjust to both technical and executive audiences

Desired Skills:
• Consumer behavior analytics or risk modeling in a financial institution
• Programing skills (R, SQL, LaTeX)
• Experience meeting with internal/external examiners and responding to questions and required actions
• Experience with DFAST/CCAR
• Proficiency with Tableau, MS Excel, and PowerPoint

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Job Description:
What would you like the power to do?
Bank of America’s Global Risk Analytics (GRA) organization has a high impact opportunity for a Senior Consumer Credit Risk Analyst within its Consumer Loss Forecasting (CLF) team.


The GRA group is a quantitative group which delivers models, tools, and analysis needed to effectively manage Risk and Capital. The CLF team provides insights via credit loss forecasts and related portfolio, model and forecast analytics on Bank of America’s nearly $500 billion consumer loan portfolio (including Mortgages, Credit Cards, and Auto loans).

This role plays a critical part in the Bank’s stress testing, financial planning, and risk management activities. It requires a strong understanding of economics, credit, markets and finance with the ability to apply those concepts to data analysis, combining business acumen with analytical skills to asses risk and drive well-informed management decisions.

The Quantitative Finance Analyst interacts with a wide variety of stakeholders including risk managers, model developers, operations, technology, finance, and capital. The Analyst will identify, organize and execute on the strategic change efforts across the forecasting team including new model deployment and analytical capability development.

New model deployment includes:

• Comprehensive use-case planning, testing and analysis
• Tactical build-out of required management information which aide in understanding model performance
• Creation of thorough testing plans
• Identifying requirements needed from key stakeholders

Analytical capability development includes:

• Identifying needs and requirements from the CLF team which improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy and forecast reasonability
• Identifying new topics for analytical inquiry
• Organizing across teams to ensure need fulfillment
• Research statistical methods (e.g. machine learning methods), directly conduct analysis and develop methodologies that enable analytical insight discovery and application in credit risk management space.

Each of these responsibilities require strong written and verbal communication skills, influencing resources from other teams, and the ability to identify core implications and connections within complex issues.

Required Skills:

• Masters' Degree with 2 years of non-internship experience, PhD preferred.
• Experience in Credit, Market, or Economic Analysis with a demonstrated track record of generating and communicating insights which improve performance and understanding
• Strong business and financial acumen
• Attention to detail coupled with ability to simplify the complex
• Experience in data science and analysis, with excellent analytical skills
• Experience in data science python/pyspark libraries
• Strong written/oral communication skills, with the ability to adjust to both technical and executive audiences

Desired Skills:
• Consumer behavior analytics or risk modeling in a financial institution
• Programing skills (R, SQL, LaTeX)
• Experience meeting with internal/external examiners and responding to questions and required actions
• Experience with DFAST/CCAR
• Proficiency with Tableau, MS Excel, and PowerPoint

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21067526

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0