Bank Of America Vice President Quantitative Finance Analyst 

United States, North Carolina, Charlotte 

326421519

Responsibilities

• Develop quantitative framework to measure the Financed Emissions, including generation and presentation of analyses to senior stakeholders to drive target setting and portfolio strategy.
• Develop visualization and analytical tools that supports 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 by utilizing 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.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• Bachelor's degree or equivalent in Engineering (any), Computer Science, Statistics, Mathematics or related; and
• 5 years of progressively responsible experience in the job offered or a related quantitative occupation.
• Must include 5 years of experience in each of the following:
• Analyzing and evaluating large and complex economic and financial datasets by utilizing SQL, Oracle PL/SQL, Informatica, Autosys, and UNIX;
• Developing and evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging Oracle, SQL, Hadoop/HIVE, Python, Spark, and Autosys;
• Implementing advanced high-performance Python code for large-scale distributed computing environments of Apache Spark, Hadoop/HIVE to develop scalable and quantitative models;
• Employing data analytics and visualization tools like Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for management; and,
• Supporting model development and advancing analytical capabilities by partnering with upstream and downstream partners and technology staff.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.

$160,000 to $170,000 per year.

1st shift (United States of America)