Bank of America's Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) departments need to develop common, reusable, and scalable software components to enhance their data and analytical capabilities for risk measurement, management, and reporting. This involves understanding current data and analytics states and designing future states, while also addressing domain-specific needs like classification models for surveillance and testing frameworks for Global Markets processes.
Requirements
- Software engineering: modular code, software lifecycle processes, unit testing, regression testing
- Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software
- Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)
- Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
- Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
- Experience with large scale data sets with structured or unstructured data
- Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
Responsibilities
- Designing and overseeing the implementation of common, reusable, and scalable software components.
- Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
- Building performant big data pipelines.
- Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes.
- Source and evaluate data required for modeling and testing.
- Design and develop and implement models and tests.
- Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes.
Other
- Seek opportunities for consistent improvement in quality, efficiency, and processes
- Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance
- Provide leadership and oversight to less experienced team members
- High level of intellectual curiosity
- Proven track record of building relationships and effectively influencing key stakeholders
