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.

• Domain Expertise: Proven technical background working with algorithmic trading architectures, quantitative developer tooling, or exchange-style integration frameworks.
• Technical Proficiency: High competence in system-level and script-level programming, with particular emphasis on Python, TypeScript, and Rust.
• Network Protocol Mastery: Deep practical familiarity with high-throughput REST and WebSocket API integrations within low-latency environments.
• Systems Thinking: Exceptional debugging capabilities across multi-tiered application environments and distributed systems.
• Communication Skills: Strong professional communication hygiene, with the capacity to interface effectively with highly sophisticated technical stakeholders and institutional clients.
• Execution Focus: A strong bias toward shipping practical, scalable solutions within rapid deployment cycles.

• Competitive institutional equity package: 0.2% – 0.5% equity.
• Opportunity to scale next-generation infrastructure for the global decentralized finance and systematic trading ecosystems.
• Remote-first operating environment with significant autonomy and ownership.



Interview Process

• Introductory Interview: A 20-minute introductory conversation focused on background alignment with the Co-Founder.
• Technical Evaluation (Part I): A 30-minute technical session conducted by the Lead Engineer.
• Technical Evaluation (Part II): A 30-minute deep-dive technical session conducted by the Co-Founder.
• Final Evaluation: A comprehensive 3-day work trial to simulate collaborative output and production execution.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

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