Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. The team drives innovation, process improvement and automation across all of these activities.
Team Overview:
Wholesale Risk Analytics (within GRA) provides the decision support framework to translate data into actionable insights, support responsible growth and improve our business and risk partner’s ability to manage risk proactively.
The WRA team is responsible for analytics and forecasting related to the Bank’s $500 billion plus commercial loan portfolio, playing a critical role in the Bank’s stress testing, financial planning, and risk management activities.
The Advanced Analytics function within WRA is responsible for developing the next generation of analytical tools and capabilities that provide forward-looking insights which go beyond first-order relationships and impacts. Advanced Analytics team members possess a combination of quantitative and qualitative skills and interact with a wide variety of stakeholders including members of quantitative model development teams, model execution / operations teams, forecast administers, enterprise and front line risk partners, and front line business partners.
Overview of Role:
The selected candidate will be responsible for conceptualizing, implementing, and socializing structured solutions to ambiguous and complex business problems using a combination of proprietary and third-party data and quantitative techniques, including modern data science concepts and methodologies. The candidate will also have the opportunity to collaborate with team members to develop strategic capabilities that form the basis for future research and analysis. Lastly, all team members are expected collaborate with, and influence, members at and below their peer group in other functions inside and outside of the immediate organization.
Required Skills:
Desired Skills:
Shift:
1st shift (United States of America)
Hours Per Week:
40
The Bank of America Corporation is an American multinational investment bank and financial services holding company headquartered in Charlotte, North Carolina. The bank was founded in San Francisco, and took its present form when NationsBank of Charlotte acquired it in 1998. t is the second-largest banking institution in the United States, after JPMorgan Chase, and the second largest bank in the world by market capitalization.
Charlotte, NC, USA
2-4 year
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