7 of 7 Grid Computing Jobs in London

cutting-edge technologies and gain deep exposure to risk management systems within a leading global investment bank Develop distributed systems leveraging distributed caches and grid-computing technologies Collaborate closely with global teams across the interest Rates Derivative technology organization, as well as middleware and infrastructure teams, to deliver … such as Python, C#, or C++ are encouraged to apply Experience developing scalable distributed systems and working with technologies such as distributed caches and grid computing Familiarity with modern development practices including unit testing, mocking frameworks and continuous integration pipelines Exposure to Scala or willingness to learn Scala ...

Router, DMA, and ITCH; Ability to work in a fast-paced, dynamic environment; Nice to have: C++, Python for tooling, analytics, or data pipelines, Grid Computing/Big Data, databases such as SQL, MongoDB, or Redis, cloud infrastructure such as AWS. Условия: Competitive compensation; Health, vision, and dental ...

analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed in-memory solutions. The new application is going to serve traders, sales and external clients. Solution is scalable … Developer.**Key Responsibilities:*** Design, develop, and maintain Java-based microservices for high-throughput application* Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing* Implement real time data ingestion and processing pipelines using Apache Kafka/Solace messaging* Design and maintain robust Mongo ...

looking for an experienced Lead Engineer (back-end) to lead the team building and scaling the infrastructure behind Scenario Builder, our electricity grid modelling platform. Scenario Builder is an in-browser platform that currently provides capacity expansion and dispatch modelling through an accessible no-code interface. The vision … Scenario Builder is to expand into power flow modelling to create a fully integrated grid modelling platform with the features and functionality needed to enable users to develop bankable scenarios that support energy investment decisions. You will line-manage a small team of engineers while remaining a highly active ...

actuarial platform and tooling transformation. The ideal candidate will have a strong background in enterprise actuarial technology/platforms (including cloud or high‐performance computing), and life insurance actuarial modelling and regulatory topics (e.g. Solvency II, IFRS 17) combined with excellent client‐facing and pre‐sales experience. The candidate … sales engagements for PathWise across EMEA. Develop and articulate clear value propositions and business cases for PathWise as an actuarial technology platform, computing capabilities, linking modelling and data to client outcomes (e.g. regulatory compliance, capital efficiency, process simplification, performance, governance). Support sales in identifying and qualifying opportunities where ...

join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. This is a broad software engineering role spanning backend systems, frontend products, data-intensive applications, cloud infrastructure and applied AI. You will help … technical customers. High ownership, curiosity and a willingness to learn quickly. Experience with developer tools, data visualisation, geospatial products, collaborative software, workflow engines, technical computing or regulated industries would be valuable, but is not required. About Squid AI and data centres are booming, electrification is accelerating, and trillions ...

data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions … assumptions, and decisions can be tracked – and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London ...