What are the responsibilities and job description for the Sr. Quantitative Finance Analyst - Liquidity Model Validation position at Bank of America?
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:
Enterprise Model Risk Management seeks a Senior Quantitative Finance Analyst – Liquidity Risk to conduct independent testing and review of complex models used to monitor and mitigate liquidity and funding risks in the Bank. Responsible for compliance with Enhanced Prudential Standards and other regulatory guidelines, the candidate will work on models related to both banking and trading businesses of Bank of America. The candidate should exhibit familiarity with industry practices and have up-to-date knowledge of liquidity risk management. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying mathematical approaches to manage the bank’s liquidity risk models and model systems.
Minimum Education Requirement: Master’s degree in related field or equivalent work experience
Required Qualifications:
1st shift (United States of America)
Hours Per Week:
40
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:
Enterprise Model Risk Management seeks a Senior Quantitative Finance Analyst – Liquidity Risk to conduct independent testing and review of complex models used to monitor and mitigate liquidity and funding risks in the Bank. Responsible for compliance with Enhanced Prudential Standards and other regulatory guidelines, the candidate will work on models related to both banking and trading businesses of Bank of America. The candidate should exhibit familiarity with industry practices and have up-to-date knowledge of liquidity risk management. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying mathematical approaches to manage the bank’s liquidity risk models and model systems.
Minimum Education Requirement: Master’s degree in related field or equivalent work experience
Required Qualifications:
- Masters in finance or economics with demonstrated quantitative skills.
- FRM and CFA certifications preferred.
- Knowledge and 5 years of experience in building and understanding of liquidity risk management models.
- Strong familiarity with the industry practices in the field and knowledge of up-to-date liquidity risk management.
- Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels.
- 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
1st shift (United States of America)
Hours Per Week:
40
