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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
At Citi, we value engineering and foster an environment where our best engineers continue to code and grow their careers. We invite applications from experienced developers for a VP role. The candidate will be comfortable coding 100% of their time and understand market risk for derivatives. We expect good knowledge of Python and an object oriented language, ideally Java. Candidateis expected to have worked with quantitative analytic libraries in their previous role. Candidate will work contribute to every phase of SDLC. To begin with, the candidate will focus on building an automated testing framework to automate testing in a cross asset Risk system. Candidate should be able to work in Kubernetes based deployments in both on-prem and external cloud and deal with build technologies. Candidate will have no line management responsibilities and will devote their time exclusively on engineering. This role willrequire regular interfacing with Finance & Quantitative Analytics teams. Candidate is expected to handle such meetings without supervision. We are producing cloud-based risk systems for the bank. The team youll be working with is utilizing cutting edge technology to meet complex finance, supervisory and regulatory requirements and the demands of an increasingly electronic business. The risk systemsneed to work at scale across Rates, FX, Equities, Commodities etc. The systems are large distributed systems based on micro services and stream processing. The team is using Kubernetes and cloud environments to scale as required with 10s of thousands of cores. The development position involves: