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:
Skills:
Minimum Education Requirement: Master’s degree in related field or equivalent work experience
Qualifications:
• 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
Shift:
1st shift (United States of America)Hours Per Week:
40Learn more about this role