Vice President; Quantitative Finance Analyst

$160,000 - $170,000/Yr

Disability Solutions - Charlotte, NC

Full-time - Mid Level

Remote - Charlotte, NC

About the position

The position at Bank of America focuses on developing quantitative frameworks to measure financed emissions and providing analytical support to senior stakeholders. The role involves creating visualization tools, preparing specialized content for high-profile requests, and analyzing complex datasets to drive portfolio strategy and risk management. It emphasizes collaboration with various teams to enhance analytical capabilities and support model development.

Responsibilities

• Develop quantitative framework to measure the Financed Emissions, including generation and presentation of analyses to senior stakeholders.
• Develop visualization and analytical tools that support the Enterprise's risk appetite.
• Prepare specialized content for high-profile senior Risk, Line of Business, Board, and regulator requests.
• Connect model-driven analytics and value additive business and risk applications.
• Develop actionable analytics and early warning indicators.
• Analyze and evaluate large and complex economic and financial datasets using SQL, Oracle PL/SQL, Informatica, Autosys, and UNIX.
• Develop and evaluate quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging Oracle, SQL, Hadoop/HIVE, Python, Spark, and Autosys.
• Implement advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE to develop scalable and quantitative models.
• Employ data analytics and visualization tools like Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for management.
• Support model development and advancing analytical capabilities by partnering with upstream and downstream partners and technology staff.

Requirements

• Bachelor's degree or equivalent in Engineering (any), Computer Science, Statistics, Mathematics or related field.
• 5 years of progressively responsible experience in the job offered or a related quantitative occupation.
• 5 years of experience in analyzing and evaluating large and complex economic and financial datasets using SQL, Oracle PL/SQL, Informatica, Autosys, and UNIX.
• 5 years of experience in developing and evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging Oracle, SQL, Hadoop/HIVE, Python, Spark, and Autosys.
• 5 years of experience in implementing advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE.
• 5 years of experience in employing data analytics and visualization tools like Alteryx, Tableau, and Jupyter Notebook to build analytical capabilities and reporting for management.
• Experience in supporting model development and advancing analytical capabilities by partnering with upstream and downstream partners and technology staff.

Benefits

• Competitive salary ranging from $160,000 to $170,000 per year.
• Opportunities for career growth and development.
• Flexible work options, including remote work within a commutable distance.