2 months ago
Base Salary
$170k - $230k/yr
Responsibilities
- Design, develop, deliver, and improve high-quality scalable software solutions.
- Build and debug Python solutions supporting quantitative investment strategies and trading technology.
- Collaborate with product managers, designers, engineers, traders, structurers, and other stakeholders to define requirements and solution strategies.
- Participate in code reviews and promote code quality, knowledge sharing, and technical excellence.
- Implement secure coding and unit testing practices.
- Work with market data and equities front-office systems to reduce time-to-market for products and capabilities.
- Perform instrumentation and monitoring related to site reliability engineering functions.
- Advise stakeholders, manage technology risks and controls, and contribute to strategic technical direction.
Requirements
- Experience programming in Python and creating and debugging Python solutions.
- Experience with Docker, cloud environments, and Kubernetes.
- Experience with market data used in equities front-office systems, including Reuters and Bloomberg data.
- Knowledge and experience with equity derivative products, including futures and options.
- Experience with SRE functions such as instrumentation and monitoring.
- Knowledge of commodities, futures, and options is highly valued.
- Experience working with front-office users, trading, and structuring is highly valued.
- Knowledge of KDB and programming experience with Java are highly valued.
- Experience using AI agents to create fit-for-purpose solutions is highly valued.
Benefits
- The role is located in Barclays' New York, NY office.
Tech Stack
Categories
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.