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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

Quantitative Financial Analyst – Consumer Vehicle Loss Forecasting Enablement 


Bank of America’s Global Risk Analytics (GRA) organization has a high impact opportunity for a Quantitative Financial 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 position will primarily focus on the Auto portfolio in an enablement and automation capacity while secondarily supporting loss forecasting and analytics.


This role plays a critical part in the Bank’s credit risk allowance, financial planning, stress testing, and risk management activities, primarily by driving process optimization through automation and enablement across the Consumer Vehicle lending credit loss forecasts end to end life cycle. Successful candidates will have demonstrated abilities which combine automation, analytics, operational management, and communication to enhance loss forecasting capabilities and ensure best in class risk management capabilities and process efficiency. 


The Analyst will identify, lead, and organize strategic change efforts for the CVL Loss Forecasting Administration team including automation of key loss forecasting MIS and other process deliverables. The Quantitative Financial Analyst interacts with a wide variety of stakeholders including forecast administration management, peer loss forecasters, model operations, model developers, allowance, finance, enterprise stress testing, risk and the front line business unit.

The Analyst should be able to effectively assess current operations, innovate on end state capabilities, document key data flows and desired end state capabilities, and partner across various stakeholder groups to enable improved business operations for the CVL portfolio and loss forecast.


As a Quantitative Finance Analyst within Global Risk Analytics, your main responsibilities will involve:

  • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

  • Understanding, executing and enhancing activities that form the end-to-end loss forecasting life cycle

  • Identifying requirements from the teams which improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy, and forecast reasonability

  • Clearly documenting and effectively communicating loss forecasting operations as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Required Education, Skills & Experience:

  • Master’s degree in financial, economic, data science or equivalent analytical discipline

  • Experience in automation, risk, credit, modeling, collections or financial operations with demonstrated examples of completing enablement and operational improvements 

  • 2+ years of experience in automation, risk management, data analytics or quantitative research

  • Undergraduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)

  • Track record of driving change and advancing the status quo across forecasting, analytics, automation of operations and control

  • Strong analytical and problem-solving skills

  • Strong business and financial acumen

  • High attention to detail coupled with ability to simplify the complex

  • Strategic thinker that can understand complex business processes and potential simplification and optimization improvements to improve business processes

  • Demonstrated ability to organize and work collaboratively across multiple teams and functions 

  • Strong written/oral communication skills, with the ability to adjust to business partner, technology and executive audiences

  • Strong team player able to seamlessly transition between contributing individually and collaborating on team projects

  • Proficiency with analytical tools including Tableau, Alteryx and Microsoft Office

Desired Skills:

  • Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning

  • Experience with LaTeX

  • Sees the broader picture and is able to identify process innovations

  • Broad understanding of financial markets and products

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

2000

Job Description:

Quantitative Financial Analyst – Consumer Vehicle Loss Forecasting Enablement 


Bank of America’s Global Risk Analytics (GRA) organization has a high impact opportunity for a Quantitative Financial 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 position will primarily focus on the Auto portfolio in an enablement and automation capacity while secondarily supporting loss forecasting and analytics.


This role plays a critical part in the Bank’s credit risk allowance, financial planning, stress testing, and risk management activities, primarily by driving process optimization through automation and enablement across the Consumer Vehicle lending credit loss forecasts end to end life cycle. Successful candidates will have demonstrated abilities which combine automation, analytics, operational management, and communication to enhance loss forecasting capabilities and ensure best in class risk management capabilities and process efficiency. 


The Analyst will identify, lead, and organize strategic change efforts for the CVL Loss Forecasting Administration team including automation of key loss forecasting MIS and other process deliverables. The Quantitative Financial Analyst interacts with a wide variety of stakeholders including forecast administration management, peer loss forecasters, model operations, model developers, allowance, finance, enterprise stress testing, risk and the front line business unit.

The Analyst should be able to effectively assess current operations, innovate on end state capabilities, document key data flows and desired end state capabilities, and partner across various stakeholder groups to enable improved business operations for the CVL portfolio and loss forecast.


As a Quantitative Finance Analyst within Global Risk Analytics, your main responsibilities will involve:

  • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

  • Understanding, executing and enhancing activities that form the end-to-end loss forecasting life cycle

  • Identifying requirements from the teams which improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy, and forecast reasonability

  • Clearly documenting and effectively communicating loss forecasting operations as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Required Education, Skills & Experience:

  • Master’s degree in financial, economic, data science or equivalent analytical discipline

  • Experience in automation, risk, credit, modeling, collections or financial operations with demonstrated examples of completing enablement and operational improvements 

  • 2+ years of experience in automation, risk management, data analytics or quantitative research

  • Undergraduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)

  • Track record of driving change and advancing the status quo across forecasting, analytics, automation of operations and control

  • Strong analytical and problem-solving skills

  • Strong business and financial acumen

  • High attention to detail coupled with ability to simplify the complex

  • Strategic thinker that can understand complex business processes and potential simplification and optimization improvements to improve business processes

  • Demonstrated ability to organize and work collaboratively across multiple teams and functions 

  • Strong written/oral communication skills, with the ability to adjust to business partner, technology and executive audiences

  • Strong team player able to seamlessly transition between contributing individually and collaborating on team projects

  • Proficiency with analytical tools including Tableau, Alteryx and Microsoft Office

Desired Skills:

  • Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning

  • Experience with LaTeX

  • Sees the broader picture and is able to identify process innovations

  • Broad understanding of financial markets and products

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22021093

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

2000