Bank of America is looking to solve problems related to quantitative analytics and modeling for specific business units or risk types. This includes developing new models, analytic processes, and systems approaches, as well as ensuring the accuracy and efficiency of risk and loss measurement statistical models.
Requirements
- Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models.
- Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented.
- Work with technology teams to integrate Python solution into existing in-house generic platform for process execution
- Ensure that software is developed to meet functional, non-functional, and compliance requirements.
- Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
- You will be at the forefront of Python and PySpark software development, and interface with Hadoop, HIVE and Exadata for model data input and output integration.
- strong technical acumen, encompassing data analysis, computer programming, organization, good verbal and written communication, and software design capabilities.
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 drivers
- Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
- Supports 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 risk
- Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models. Example of model execution production processes are error attribution, scenario shock, sensitivity, result publication and reporting.
- Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented.
- Work with technology teams to integrate Python solution into existing in-house generic platform for process execution
- Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
Other
- Being a Great Place to Work is core to how we drive Responsible Growth.
- This includes our commitment to being an 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.
- Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
- Minimum Education Requirement: Master’s degree in related field or equivalent work experience
- Candidate will have the opportunity to collaborate with GRA and Technology teams, leverage software engineering and model development skills, and gain expertise on how meet business and regulatory requirements in a fast-paced environment.
