Quantitative Finance Analyst

Bank of America

Bank of America

IT, Accounting & Finance
Atlanta, GA, USA · Charlotte, NC, USA · United States · Remote
Posted on Monday, June 24, 2024

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!

As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

  • Responsible for independently conducting quantitative analytics and modeling projects.
  • Responsible for developing new models, analytic processes or systems approaches.
  • Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
  • Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
  • Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
  • Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
  • Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches


  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • Technical Documentation
  • Adaptability
  • Collaboration
  • Problem Solving
  • Risk Management
  • Test Engineering
  • Data Modeling
  • Data and Trend Analysis
  • Process Performance Measurement
  • Research
  • Written Communications

Minimum Education Requirement: Master’s degree in related field or equivalent work experience


• 2+ years of experience in model development, statistical work, data analytics or quantitative research, or PhD
• Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
• Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages

Desired Skills and Experience:
• Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Experience with data analytics tools (e.g., Alteryx, Tableau)
• Demonstrated ability to drive action and sustain momentum to achieve results
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Sees the broader picture and is able to identify new methods for doing things
• Experience with LaTeX


1st shift (United States of America)

Hours Per Week: