Vice President; Senior Quantitative Finance Analyst

$185,000 - $210,000/Yr

Bank of America - Charlotte, NC

Full-time - Mid Level

Remote - Charlotte, NC

Credit Intermediation and Related Activities

About the position

The position at Bank of America involves executing data provisioning processes for loss forecasting and enterprise stress testing. The role requires maintaining and developing code to support data sourcing for model production, as well as analyzing large financial datasets using various analytical tools. The successful candidate will also drive process improvements through automation and data analytics, contributing to the overall data quality and reporting for management.

Responsibilities

• Execute monthly/quarterly data provisioning production processes as part of loss forecasting and enterprise stress testing.
• Perform and execute business controls during forecasting cycles and monitor and remediate incoming data issues.
• Maintain and develop new code/processes necessary to support data sourcing for model production.
• Support development and production of Global Risk Analytics Data Quality Controls dashboards, management reports, and ad hoc reporting.
• Respond to data related requests and ad hoc queries from business partners in a timely fashion.
• Drive improvements in process via programming skills to automate processes and establish additional data analytics to improve data understanding.
• Analyze and evaluate large and complex economic and financial datasets with analytical tools Python and SQL.
• Use SQL to handle large volumes of data produced by complex financial forecasting models.
• Employ data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
• Implement advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE to develop scalable, reusable analytical and quantitative models.

Requirements

• Master's degree or equivalent in Statistics, Mathematics, Computer Science, or related field.
• 3 years of experience in a quantitative occupation or job offered.
• 3 years of experience analyzing and evaluating large and complex economic and financial datasets with analytical tools Python and SQL.
• 3 years of experience using SQL to handle large volumes of data produced by complex financial forecasting models.
• 3 years of experience employing data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook for reporting.
• 3 years of experience implementing advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE.

Benefits

• Competitive salary ranging from $185,000 to $210,000 per year.
• Flexible work options including remote work within a commutable distance.
• Comprehensive benefits to support physical, emotional, and financial well-being.