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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

The role is in the Quantitative Strategies Group (QSG) with a focus on serving the credit desks (EM, bonds, derivatives, structured products) within the GBAM business. The team is responsible for direct support of traders, control functions and the FICC Management globally. The team covers development and maintenance of analytical desk tools and pricing models, implementation in the analytics platform as well as their delivery and support across the different desks. The specific role we are looking to fill will be in close interaction with the trading desk and developing tools to maximize trader efficiency.

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 driversSupports 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/validationSupports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetiteSupports the 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 approachesDevelop and maintain desk tools in PythonDevelop the analytics library in C++Support the trading desk with use of existing models, developing new strategiesWorking on optimal portfolio selection and automated portfolio quotingAnalysis of large data sets and distilling the information contained withinDeveloping hedging strategies and backtesting their performanceWork closely with partners from other desks, e.g. XVAWork closely with the technology team in order to deliver the analytics in the new system as well as improve performance where necessary

Skills:

Critical ThinkingQuantitative DevelopmentRisk AnalyticsRisk ModelingTechnical DocumentationAdaptabilityCollaborationProblem SolvingRisk ManagementTest EngineeringExperience in both Python and C++ is highly desirable. As a minimum experience with object orientated programming and previous experience in either Python or C++ is required. Knowledge of working within a structured software development environment.  Use of source code control systems, continuous integration environments, testing, release processes, etc.Rigorous problem solving skillsKnowledge of bond and credit derivative products, understanding of derivatives pricing modelsExperience with large dataset analysis

Minimum Education Requirement: PhD or Master’s degree in related field or equivalent work experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40