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Sr Quantitative Fin Analyst

Charlotte, North Carolina;

Job Description:

At Bank of America, models are used for a broad range of activities, including but not limited to valuation, risk management, capital and liquidity planning, stress testing, underwriting and other strategic or day-to-day decision-making purposes. Bank of America recognizes the risk and uncertainty associated with the use of its models and the need to effectively manage this risk both at an individual level and in the aggregate.


The Model Risk Management (MRM) Team provides oversight for model risk across Bank of America's model inventory. The MRM Team independently validates and challenges newly-developed and existing models; is responsible for model risk assessments, limits and monitoring; communicates issues identified through validations to relevant businesses and governance and control functions; and escalates model use breaches and remediation plans to relevant governance committees.


Enterprise Model Risk Management seeks a senior quantitative finance analyst to conduct independent testing and review of complex consumer predictive models.

The qualified candidate will be responsible for a broad range of model validation activities, including:
• Review, critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation
• Development and implementation of effective testing plans and testing code to critically challenge models through empirical analyses and to verify model implementation
• Review and critical assessment of ongoing model monitoring activities
• Writing of technical reports for distribution and presentation to model developers, senior management, audit and banking regulators
• Coaching of junior staff members while leading validation projects
 

Required and desired qualifications:

• PhD or Master's degree in Statistics, Economics, Mathematics, Finance, Engineering, Physics, Computer Science / Machine Learning, or related field
• Background and experience with complex, loan-level predictive models and familiarity with retail products such as credit card
• Expertise in cross-sectional and time-series econometrics, analyzing large datasets using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
• Experience developing or validating models that rely on artificial intelligence and machine learning techniques
• Deep understanding and knowledge of model performance measures
• Extensive programming experience using Python, SAS, R, MATLAB, SQL
• Strong knowledge of financial instruments and financial risk management principles
• Minimum of 5 years of experience with a PhD or 8 years of experience with a Master’s degree in financial risk modeling or validation
• Familiarity with applicable regulatory guidance on model risk management

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

At Bank of America, models are used for a broad range of activities, including but not limited to valuation, risk management, capital and liquidity planning, stress testing, underwriting and other strategic or day-to-day decision-making purposes. Bank of America recognizes the risk and uncertainty associated with the use of its models and the need to effectively manage this risk both at an individual level and in the aggregate.


The Model Risk Management (MRM) Team provides oversight for model risk across Bank of America's model inventory. The MRM Team independently validates and challenges newly-developed and existing models; is responsible for model risk assessments, limits and monitoring; communicates issues identified through validations to relevant businesses and governance and control functions; and escalates model use breaches and remediation plans to relevant governance committees.


Enterprise Model Risk Management seeks a senior quantitative finance analyst to conduct independent testing and review of complex consumer predictive models.

The qualified candidate will be responsible for a broad range of model validation activities, including:
• Review, critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation
• Development and implementation of effective testing plans and testing code to critically challenge models through empirical analyses and to verify model implementation
• Review and critical assessment of ongoing model monitoring activities
• Writing of technical reports for distribution and presentation to model developers, senior management, audit and banking regulators
• Coaching of junior staff members while leading validation projects
 

Required and desired qualifications:

• PhD or Master's degree in Statistics, Economics, Mathematics, Finance, Engineering, Physics, Computer Science / Machine Learning, or related field
• Background and experience with complex, loan-level predictive models and familiarity with retail products such as credit card
• Expertise in cross-sectional and time-series econometrics, analyzing large datasets using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Error Correcting Models (ECM), etc.
• Experience developing or validating models that rely on artificial intelligence and machine learning techniques
• Deep understanding and knowledge of model performance measures
• Extensive programming experience using Python, SAS, R, MATLAB, SQL
• Strong knowledge of financial instruments and financial risk management principles
• Minimum of 5 years of experience with a PhD or 8 years of experience with a Master’s degree in financial risk modeling or validation
• Familiarity with applicable regulatory guidance on model risk management

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21052817

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Taylor Pitre

Referral Bonus:

0