Assistant Vice President; Quantitative Finance 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!

RESPONSIBILITIES:

• Develop, test, document, and maintain counterparty credit risk model, including risk factor simulation models, pricing models, aggregation models as well as back testing methodology.

• Support the counterparty credit risk platform, including investigation and resolution of model-related system issues and practical quantitative support to model users.

• Perform model enhancement, performance testing and documentation to remediate internal and external requirements.

• Identify common themes across global markets along with improvement initiatives.

• Communicate the results analysis to all model stakeholders including risk management, model development, model risk, senior management and our regulators.

• Support model development in confirming remediation of model issues prior to their being taken live.

• Drive incremental improvement to our model performance assessment tool set across all business areas.

• Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL and R.

• Use big data technologies SQL to handle large volumes of data produced by complex financial risk models.

• Analyze portfolio risk with derivative pricing and stochastic calculus in order to estimate losses of traded products within margined portfolios.

• Implement testing of financial models for use in model validation submissions.

• Remote work may be permitted within a commutable distance from the worksite.

REQUIREMENTS:

• Master's degree or equivalent in Finance, Statistics, Mathematics, Financial Mathematics, or related and

• 1 year of experience in the job offered or a related Quantitative occupation.

• Must include 1 year of experience in each of the following:

• Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;

• Using big data technologies SQL to handle large volumes of data produced by complex financial risk models;

• Analyzing portfolio risk with derivative pricing and stochastic calculus in order to estimate losses of traded products within margined portfolios; and,

• Implementing testing of financial models for use in model validation submissions.

If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.

EMPLOYER:  Bank of America N.A.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)

Pay and benefits information

Pay range

$134,000.00 - $153,300.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.