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:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities:

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 driversLeads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritizationIdentifies 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/validationMaintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetiteLeads and provides 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 riskWorks closely with model stakeholders and senior management with regard to communication of submission and validation outcomesPerforms statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Skills:

Critical ThinkingQuantitative DevelopmentRisk AnalyticsRisk ModelingTechnical DocumentationAdaptabilityCollaborationProblem SolvingRisk ManagementTest EngineeringData ModelingData and Trend AnalysisProcess Performance MeasurementResearchWritten Communications

Minimum Education Requirement:

Master’s degree in related field or equivalent work experience

Other responsibilities:• Identify needs and requirements from the Consumer Loss Forecasting teams to improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy, and forecast reasonability
• Identify new topics for analytical inquiry
• collaborate across teams to ensure need fulfillment
• Partner with functions across the bank such as BofA Institute to publish research insights on macro-economic trends

Required Skills• Experience in Credit, Market, or Economic Analysis with a demonstrated track record of generating and communicating insights which improve performance and understanding
• Strong business and financial acumen
• Attention to detail coupled with ability to simplify the complex
• Experience in data science and analysis, with excellent analytical skills
• Strategic thinker that can understand complex business challenges and potential solutions
• Demonstrated ability to organize and work collaboratively across multiple teams and functions
• Strong written/oral communication skills, with the ability to adjust to both technical and executive audiences
• Flexibility to work both independently with little supervision and in a complex team environment
• Strong knowledge and proficiency with technical tools such as SQL, Tableau ,Python, SAS
• Solid knowledge and experience with large data platforms such as Teradata, Hadoop etc with experience wrangling with large data and generating insights
• Proficient in data management tools and analysis routine such as DQ, access control, privacy etc.
• Minimum of 5 years of relevant experience
Desired Skills:• Self-starter with strong sense of intellectual curiosity
• Consumer behavior analytics in a financial institution
• Experience with machine learning

Shift:

1st shift (United States of America)

Hours Per Week: 

40