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 Description Summary
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Job Description:
This job is responsible for analyzing and interpreting large datasets to solve business problems and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Responsibilities:
Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
Applies agile practices for project management, solution development, deployment, and maintenance
Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
Mitigates risk by identifying potential issues and developing controls
Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
Skills:
Adaptability
Attention to Detail
Business Analytics
Technical Documentation
Written Communications
Agile Practices
Application Development
Collaboration
Data Visualization
DevOps Practices
Artificial Intelligence/Machine Learning
Networking
Policies, Procedures, and Guidelines Management
Presentation Skills
Risk Management
Required Technical Skills
Degree demonstrating training and experience in data science including mathematical component (e.g., Computer Science, Statistics, Mathematics, Data Science)
2+ years of related work experience, such as deep analytics of large data, exploratory modeling
Advanced SQL proficiency
Good, applied statistics skills, such as distributions, statistical testing, feature engineering
Understanding of machine learning techniques able to demonstrate basic understanding of algorithms
General understanding of model governance at a regulated financial institution
Python proficiency
Desired Skills
Accessing data on Hadoop/Teradata
Agile Methodology and Artifacts, JIRA, Confluence content creation
Bitbucket (or other version control)
Additional Programming Languages, for example, SAS, R, C++, Julia
Graph database, Graph theory
Shift:
1st shift (United States of America)
Hours Per Week:
40