Sr Quantitative Fin Analyst
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Leads audit assessment of the companys AI governance framework and routines
Leads audit assessment of effectiveness of controls supporting the use of AI models and application such as AI model life cycle including model governance, development, validation, on-going monitoring, and model change management.
Performs review of model development analysis and on-going model performance testing to assess the conceptual soundness of the AI model methodology, reasonableness of the model assumptions and the completeness and accuracy of the model testing.
Conducts review of the AI model validation analysis to assess the effectiveness of the model validation process. Assesses the completeness and reasonableness of the model assumptions, limitations and independent model testing.
Provides insightful challenges to management, identifies control deficiencies or enhancement opportunities, conducts root cause investigation, documents and reports audit findings.
Works closely with teammates from multiple internal audit teams to ensure a comprehensive coverage of model uses across the various lines of business of control functions.
Works closely with model stakeholders and senior management with regard to communication of audit assessment outcomes
Required Qualifications:
Masters Degree or above in a quantitative discipline such as Mathematics, Data Science, Statistics, Finance, Economics, or Engineering
3+ years of industry experience relating to AI modelling and model uses in financial/banking sector
Desired Qualifications:
Prior auditing background preferred
Experience of development and validation of AI models used in financial/banking sector
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Minimum Education Requirement: Masters degree in related field or equivalent work experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
Apply Now
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Leads audit assessment of the companys AI governance framework and routines
Leads audit assessment of effectiveness of controls supporting the use of AI models and application such as AI model life cycle including model governance, development, validation, on-going monitoring, and model change management.
Performs review of model development analysis and on-going model performance testing to assess the conceptual soundness of the AI model methodology, reasonableness of the model assumptions and the completeness and accuracy of the model testing.
Conducts review of the AI model validation analysis to assess the effectiveness of the model validation process. Assesses the completeness and reasonableness of the model assumptions, limitations and independent model testing.
Provides insightful challenges to management, identifies control deficiencies or enhancement opportunities, conducts root cause investigation, documents and reports audit findings.
Works closely with teammates from multiple internal audit teams to ensure a comprehensive coverage of model uses across the various lines of business of control functions.
Works closely with model stakeholders and senior management with regard to communication of audit assessment outcomes
Required Qualifications:
Masters Degree or above in a quantitative discipline such as Mathematics, Data Science, Statistics, Finance, Economics, or Engineering
3+ years of industry experience relating to AI modelling and model uses in financial/banking sector
Desired Qualifications:
Prior auditing background preferred
Experience of development and validation of AI models used in financial/banking sector
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Minimum Education Requirement: Masters degree in related field or equivalent work experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
Apply Now