My client is scaling its London engineering hub as they drive to double their AUM to $2 trillion within the next 3 years. Join a lean team building the event-driven data platform that powers Private Credit trading for global pension-fund and insurance mandates.
Position Overview:
- High impact, greenfield work backed by one of the worldβs fastest-growing alternative asset managers.
- Deliver high-performance Python APIs and micro-services; craft slick UIs in React or Vue
- Re-architect & refactor trade-flow data services into a Kafka-streaming, event-driven ecosystem
- Optimise data quality & latency for front-office decision-makers
- Access to decision-makers, lightning-fast release cycles, and enterprise-level tooling.
- Collaborative culture that rewards excellence.
Requirements:
- Proven Python experience in revenue-critical environments (finance, gaming, or sports-betting welcome).
- Solid full-stack skills and modern JavaScript framework experience (React or Vue.JS).
- Hands-on with Kafka (or similar streaming tech) and a passion for clean, testable code.
- Comfortable partnering directly with traders, quants, and data scientists.
Contact Detail:
Stanford Black Limited Recruiting Team