Quantitative Operations Associate – Volume Forecaster

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Summary

Global Operations Data Management and Analytics team is looking for a motivated individual who can analyze operational activities to obtain quantitative forecasts for staffing decision-making through the application of statistical models and business intelligence. Utilizes mathematics, statistical methods, engineering methods, and other advance analytics methods. Works on complex technical problems and provides innovative solutions. Interacts with senior partners on significant technical matters often requiring coordination between organizations.

• Responsible for developing and modernizing time-series models using advanced algorithm-based forecasting techniques
• Assist in driving forecast consistency and innovation across team
• Routinely partner with the Front-Line Units (FLUs) to generate best in class outcomes
• Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
• Supports ongoing monitoring and improving forecasting performance and efficiency

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm’s risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization’s various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Required Skills

• Master’s degree in Mathematics, Statistics, Applied Economics, Operations Research, Advanced Analytics or other STEM field
• 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
• Fundamental understanding and experience with Linear Regression, Time-Series, Statistical Modeling, both through education and professional experience
• Experience with SAS, Python, R, or similar statistical software
• Experience with Tableau or other data visualization
• Ability to work in team-oriented environment with strong aptitude for problem solving and collaboration
• Strong communication and interpersonal skills – specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
• Natural curiosity and drive to answer important business questions
• High aptitude for self-motivation and self-determined project work

Desired Skills:

• Data mining experience using SQL
• Prior Bank of America/Banking industry analytics and modeling experience, specifically with developing predictive models that adhere to standards set by a risk management governing body
• Ability to coach others

Skills:

• Analytical Thinking
• Business Intelligence
• Data Modeling
• Data Visualization
• Data and Trend Analysis
• Attention to Detail
• Collaboration
• Data Management
• Data Mining
• Presentation Skills
• Consulting
• Problem Solving
• Risk Management
• Stakeholder Management
• Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week: 

40