Quantitative Risk Analyst Jobs in Arizona (NOW HIRING)

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for developing and maintaining models for the line of business, including volume forecasts, capacity plans, and vendor models. Key responsibilities include presenting findings to key stakeholders and ensuring compliance to Model Risk Management (MRM) standards. Job expectations include strong quantitative skills and experience in time series forecasting, simulation modelling, operations research, and analytics.

The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in time series forecasting and predictive modeling. This individual will be responsible for developing data and maintaining strategic volume forecasts for capacity planning purposes through the application of statistical models and business intelligence. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills.
Responsibilities include:
Develop and maintain time-series models using advanced algorithm-based forecasting techniques
Routinely partner with the Front-Line Units (FLUs) to ensure model accuracy
Conduct model production and performance presentations with executive leadership
Support with ongoing model monitoring efforts to adhere to Model Risk Management (MRM) guidelines
Assist in driving forecast consistency and innovation across the team

Responsibilities:

• Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models
• Drives horizontal consistency in model development and usage across peer groups
• Conducts routine model production and performance presentations with executive leadership
• Ensures adherence to Model Risk Management (MRM) requirements
• Supports ongoing model monitoring to improve forecasting performance and efficiency

Required Skills:

Master's degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, other STEM field; or equivalent experience
2+ years of experience in quantitative roles supporting complex functions
Fundamental understanding and experience with linear regression, time-series, and other statistical modeling techniques, through education and/or professional experience
Proficient in MS Office, particularly Excel and Copilot
Experience with SAS, Python, or R
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

Desired Skills:

2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by risk management governing body
Data mining experience using SQL
Experience with Tableau or other data visualization
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:

Hours Per Week: