Senior Data Scientist

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!

Background:

The DSTRO (Data Science for Technology, Risk and Operations) team is looking for a Senior Data Scientist that has a combination of skills to provide quantitative analysis and high-quality data products in the financial services domain. The right candidate will be part of a team that works closely with BofA Institute, Economic Research, Equity Research, and Global Risk Management teams to produce high frequency economic indicators, including consumer retail spending, wage growth, consumer credit, etc.. Additionally the candidate will also help produce stories of interest to investors, economists, and consumer risk analysts, leveraging our bank’s proprietary customer transaction data through debit card, credit card, ACH, and other channels.

Key Responsibilities:

• Work with Global Research partners and Control Function partners to develop analytic stories about consumer economic behavior
• Ensure high level of quality in data products through careful attention to detail
• Communicate findings, gaps, and opportunities to all levels of the organization
• Take projects from ideation to data analysis to visualization and presentation

Qualifications:

• Degree in statistics, finance, economics, or equivalent quantitative experience
• 5+ years of data driven analytical experience
• Proficient in pulling data from big relationship database, like Teradata, and flat files
• Strong SAS/Python/SQL programming skills
• Strong attention to detail and curiosity about data anomalies
• Ability to collaborate within and between cross-functional teams
• Excellent communication skills
• Highly organized and experienced in leading/managing projects, initiatives, and development
• Ability to manage multiple and competing priorities

Shift:

1st shift (United States of America)

Hours Per Week:

40