
11 - 50 employees
Founded 2019
💳 Fintech
🤝 B2B
💸 Finance
Fintech • B2B • Finance
Reactive Markets is a financial infrastructure company that provides ultra-low-latency connectivity and execution for institutional trading across FX, equities and other asset classes. Its network connects clients to 35+ liquidity providers with deterministic sub-50 microsecond end-to-end latency, accessible via a single API, UI, or integrations with EMS/OMS/pricing engines. The platform is engineered for bilateral trading, systematic and manual strategies, and offers real-time latency reporting, analytics, global deployment (New York, London, Singapore), and FCA-regulated services for professional market participants.
🔥 29 minutes ago
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11 - 50 employees
Founded 2019
💳 Fintech
🤝 B2B
💸 Finance
Fintech • B2B • Finance
Reactive Markets is a financial infrastructure company that provides ultra-low-latency connectivity and execution for institutional trading across FX, equities and other asset classes. Its network connects clients to 35+ liquidity providers with deterministic sub-50 microsecond end-to-end latency, accessible via a single API, UI, or integrations with EMS/OMS/pricing engines. The platform is engineered for bilateral trading, systematic and manual strategies, and offers real-time latency reporting, analytics, global deployment (New York, London, Singapore), and FCA-regulated services for professional market participants.
• Build AI-powered tools and data infrastructure • Develop full-stack applications bridging AI, data, and user needs • Create Slack-based bots for incident investigation and production log analysis • Implement ClickHouse analytics pipelines and real-time anomaly detection • Develop constrained, repeatable diagnosis agents and internal tooling • Collaborate closely with TechOps, Connectivity, and Data teams
• Strong Python – your primary language for AI tooling, data pipelines, and backend services • TypeScript / JavaScript – for Slack integrations, web interfaces, and full-stack tooling • Go experience is a bonus – we use Go extensively for backend services and CLI tooling • SQL – comfortable writing analytical queries against large datasets (ClickHouse, PostgreSQL, or similar) • Familiarity with LLM APIs and tooling – Claude, OpenAI, or similar; prompt engineering, function calling, tool use • Experience with Docker, Kubernetes, and AWS – your tools will run in production infrastructure • Git and Linux fundamentals • Experience in financial services is a plus but not essential – domain knowledge can be learned; engineering instinct cannot.
• Up to 30 days leave + bank holidays • Private health insurance • Pension • Life insurance • Dental/optical cashback • Cycle to work • Socials and offsites
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