Assistant Vice President; Quantitative Finance Analyst

can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Responsibilities

• Optimize end-to-end climate risk data delivery target state partnering with internal stakeholders.

• Ensure data quality and accuracy by establishing and improving data quality checks.

• Execute on Authorized Data Source (ADS) Data Sourcing and Provisioning strategy, in alignment with Enterprise Data Management and Global Risk objectives.

• Perform complex analysis and being engaged in the development of modelling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposure.

• Provide analytical support on various product strategies to ensure company goals are met.

• Coordinate the production of performance reports for senior management.

• Participate and develop more complex program processes to extract data and using databases to support statistical and financial modelling.

• 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 for complex financial forecasting models.

• Develop data visualization tools using Tableau to analyze and present data in order to support model development of mortgage loan loss forecast.

• Employ data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.

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

Required Skills & Experience

• Master's degree or equivalent in Statistics, Mathematics, Computer Science, Information Systems, 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 for complex financial forecasting models;

• Developing data visualization tools using Tableau to analyze and present data in order to support model development of mortgage loan loss forecast; and,

• Employing data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.

If interested apply online at https://www.bankofamerica.com/careers or email your resume to [email protected] 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

Learn more about this role