Quant Developer Relations Engineer
Dónde está disponible este puesto
Plegado de forma predeterminada para que la descripción sea fácil de leer.
- Singapore, Singapur
- Singapur
Contexto salarial para este puesto
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Salario indicado
USD 115,000 - 140,000 / yearlySalario publicado en este anuncio.
- Fuente
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Resumen del puesto por JobGrid
Quant Developer Relations Engineer at MLabs: Singapore, Singapur, Singapur; Híbrido; Senior; Tecnología; Soluciones / arquitectura. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Singapore, Singapur, Singapur, Híbrido
- Role classification: Tecnología, Soluciones / arquitectura, Senior
- Employer salary shown on the listing: USD 115,000 - 140,000 / yearly
- Source freshness: checked by JobGrid on 2026-06-11.
Location: Singapore, Singapore (Hybrid)
Hybrid | Full-time
Compensation: $115K - $140K
Our client is an institutional-grade prime broker specializing in liquidity provisioning and high-scale algorithmic trading infrastructure. The organization is dedicated to delivering highly reliable, low-latency connectivity frameworks optimized for systematic funds, proprietary trading firms, and advanced algorithmic builders operating at scale.
They are seeking a highly technical Quant Developer Relations Engineer to take full ownership of the technical onboarding and integration lifecycle for API-driven trading counterparties. In this capacity, the successful candidate will operate directly at the intersection of core engineering and elite trading teams, ensuring seamless, low-friction adoption of the client’s institutional trading infrastructure.
Key Responsibilities
- Integration Management: Lead end-to-end technical integrations for key systematic trading teams, proprietary funds, and institutional builders.
- Developer Resources & Tooling: Construct and maintain production-ready SDKs, comprehensive API documentation, integration templates, and automated testing tools.
- Technical Support Engineering: Provide tier-one technical support and live issue diagnostics across dedicated communication channels and programmatic community portals.
- Infrastructure Observability: Build health checks and implement monitoring configurations to evaluate integration performance, reliability, and data stream integrity.
- Product Feedback Loop: Surface technical issues, friction points, and operational requirements from institutional users directly to internal core engineering groups to drive continuous system optimization.