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Bank of America Hiring for Quantitative Finance Analyst at Atlanta, GA Full Time
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Job Description:
Overview of Global Risk Analytics
Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst (B5) within our Global Risk Analytics (GRA) function. 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. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions, and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement, and automation across all of these activities.
Overview of the Team
The Consumer Quantitative Development (CQD) team is part of Global Risk Analytics (GRA). It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business.
The team places strong emphasis on delivering innovative, world class quantitative solutions designed to drive the business forward. It uses a disciplined and iterative development process to address critical business problems across the lending lifecycle including pricing, loss reserve, capital, stress testing, and valuation for the Front Line Unit (FLU) model owners and stakeholders. The team has responsibilities across a number of areas:
The Consumer Quantitative Development (CQD) team is part of Global Risk Analytics (GRA). It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business.
The team places strong emphasis on delivering innovative, world class quantitative solutions designed to drive the business forward. It uses a disciplined and iterative development process to address critical business problems across the lending lifecycle including pricing, loss reserve, capital, stress testing, and valuation for the Front Line Unit (FLU) model owners and stakeholders. The team has responsibilities across a number of areas:
- Quantitative Development. Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.
- Infrastructure. Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies and expansion of quantitative capabilities to better leverage infrastructure and computational resources.
- Documentation. Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.
Overview of the Role
The Quantitative Finance Analyst will interact with a wide variety of stakeholders including risk managers, model developers, operations, technology, finance, and capital.
As a Quantitative Finance Analyst within Quantitative Development, the main responsibilities will involve:
- Software development: implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Development takes place almost entirely in Python, with some C++ for high performance components.
- Maintain code quality through best practices, unit testing and code quality automation.
- Understand the whole product, its modules, and the interrelationship between them, while being an expert in the assigned component or module.
- Possess advanced domain knowledge and show great customer focus. Leverage skills in methodologies and build, release, and deployment processes.
- Partner in defining, adopting, and executing GRA’s technical strategy.
- Identify and apply new software development techniques to support enhanced granularity of risk management capabilities. Employ elevated intellectual curiosity and an acute sense of innovation.
- Communicating model results to model stakeholders, including risk management, model development, model risk, senior management, and regulators
Required Skills and Experience
- Strong Python software development skills
- Understanding of algorithms and data structures
- Experience with Linux operating system and command line tools
- Experience with version control systems, i.e., Git
- Knowledge of SQL
- Technical writing and clear verbal communication and presentation skills
Desired Skills and Experience
- Strong C++ software development skills
- Experience in assessing application performance and optimizing/improving that performance through design and best code practices
- Experience with Spark
- Experience with high performance Python libraries, i.e., Numpy, Numba, Cython
- Experience with LaTeX
- Familiarity with SDLC tools: unit testing libraries, Jira, Jenkins
Job Band:
H5
Shift:
1st shift (United States of America)
Hours Per Week:
40
Weekly Schedule:
Referral Bonus Amount:
0
