Vice President, Cons Prod Strategic Analyst

Bank of America•Charlotte, NC

1d•Onsite

About The Position

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 an 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Requirements

Bachelor's degree or equivalent in Engineering (any), Computer Science, Mathematics, Statistics, Economics, or related: and 4 years of experience in the job offered or a related Quantitative occupation.
Must include 4 years of experience in each of the following: Translating complex business/system requirements into SQL coding to establish control monitoring; Creating and executing testing solutions using SQL coding, TOAD, SAS, and Bacardi; Identifying Python data extract options to evaluate documents for control monitoring; Using Python, Selenium, BeautifulSoup, and pdfminer packages to extract data and automate monitoring; and, Manipulating large data sets across complex data structures in coding tools using SAS and SQL coding.

Responsibilities

Handle complex data structures across multiple lines of business and acquiring in-depth knowledge and demonstrating impact in a timely manner.
Analyze data and determining root causes and summarizing Regulatory/Policy impacts.
Apply knowledge of Python to extract and digitalize data from word and PDF documents, allowing for expanded monitoring automation.
Leverage Python’s data imaging capabilities for use in strategy simulations, as well as evaluating numerous internal documents and summarize key themes to provide concentrated high priority items for review.
Develop end to end Attribute Simulations scripts for different Lines of Business.
Apply SAS skills to continually develop and monitor Consumer Underwriting strategies to ensure that the strategies and the data leveraged within those strategies are working as designed and intended.
Translate complex business/system requirements into SQL coding to establish control monitoring.
Create and execute testing solutions using SQL coding, TOAD, SAS & Bacardi.
Identify Python data extract options to evaluate documents for control monitoring.
Use Python, Selenium, Beautifulsoup and pdfminer packages to extract data and automate monitoring.
Manipulate large data sets across complex data structures in coding tools using SAS and SQL coding.