Vice President: Senior Quantitative Finance Analyst

Job description

• 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

Responsibilities

• Develop quarterly Consumer Model Executions for both Forecast Administrator Benchmarking and Ongoing Monitoring Reports.
• Perform quantitative analytics and complex business-as-usual projects.
• Organize and prepare development documentation and supporting materials.
• Develop analytical tools to produce key elements for discussion procurements with stakeholders and Senior Manager leads.
• Identify risks and issues proactively and frame the pros and cons of business options to drive the project forward.
• Contribute to strategic direction via quantitative tools and solutions.
• Provide ongoing monitoring results for critical consumer credit models for Mortgage, Card, Consumer Vehicle Lending, and Deposit Overdraft.
• Analyze and model structuring data using advanced statistical methods and implement algorithms and software needed to perform analyses.
• Cluster large amount of content and process data in large-scale environments using Hadoop and Spark.
• Perform statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
• Perform advanced business analytics in risk management, communicate results and educate others through reports and presentations.
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
• Remote work may be permitted within a commutable distance from the worksite