Quantitative Engineer: Big Data & Risk Analytics
Bank of America
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Benefits offered by this job
Job summary
Bank of America in Bromley is seeking a Quantitative Engineer for Global Risk to design and implement reusable software components supporting data and analytics across risk models and testing. You will work with modelers, risk managers and technologists across the bank to shape future data capabilities.
The role combines software engineering, big data and modelling with a focus on scalable pipelines, data quality, and regulatory documentation.
Qualifications
- Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
- Several years relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving.
- Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
Responsibilities
- Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
- Understanding financial data: schemas, flow, size, data issues, data controls, etc.
- 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
- Collaborate with key stakeholders across the Bank to understand modelling and testing business processes and requirements
- Think outside the box of current industry standards to develop innovative approaches
- Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
- Source and evaluate data required for modelling 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
Skills
Education
Tools
Job description
Bank of America in Bromley is seeking a Quantitative Engineer for Global Risk to design and implement reusable software components supporting data and analytics across risk models and testing. You will work with modelers, risk managers and technologists across the bank to shape future data capabilities.
The role combines software engineering, big data and modelling with a focus on scalable pipelines, data quality, and regulatory documentation.
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