Quant Engineer

Location:Shanghai

On-Site Full-time

Compensation:$150K$200K equity

Our client is an innovative quantamental investment platform that empowers investors to build share and collaboratively execute sophisticated trading playbooks. The platform covers the entire investment lifecycle including financial modeling data visualization quantitative strategy development event-driven backtesting and real-time dashboard monitoring. Designed to seamlessly convert strategic ideas into live execution parameters without requiring code the platform fosters collaborative intelligence to turn individual research into a powerful shared edge.

On behalf of this client we are seeking a top-tier Quant Engineer to build and scale the core production-grade trading engine that powers the platforms execution layer. This is a pure systems and infrastructure engineering position rather than a quantitative strategy or research role. The successful candidate will focus heavily on infrastructure architectural correctness and high-level reliability across the end-to-end framework: from research and event-driven simulation to paper trading live order routing and real-time execution.

Key Responsibilities

• Core Engine Evolution: Design build and optimize the core execution engine establishing robust systems for event-driven backtesting simulations precise data alignment and dynamic strategy runtimes.
• Live Trading Systems: Architect and implement low-latency live trading infrastructure managing signal-to-order pipelines order lifecycle processing fills/partial-fills reconciliation and direct broker or exchange integrations via REST and WebSockets.
• System Reliability: Solve critical trading engine edge cases including state consistency across simulated paper and live trading environments strict system idempotency duplicate-order prevention latency reduction and slippage mitigation.
• Infrastructure Autonomy: Collaborate closely within a high-caliber low-bureaucracy engineering unit to define and build out the execution layer for an AI-driven investment ecosystem.

• Production Trading Systems Experience: Proven professional background building maintaining or heavily contributing to production-grade algorithm or quantitative trading engines.
• Failure Mode Expertise: Deep practical understanding of how distributed architectures and live market trading pipelines fail in real-world scenarios going beyond pure theoretical simulation.
• Commitment to Correctness: Exceptional attention to detail regarding data accuracy transactional edge cases state consistency and fault-tolerant software engineering where system bugs translate directly to financial anomalies.
• Technical Background (Preferred Frameworks): Familiarity with open-source or institutional trading frameworks such as Lean NautilusTrader or Hummingbot is highly advantageous.
• Backend Proficiency: Solid foundations in backend architecture event-driven/distributed frameworks or real-time streaming architectures using languages such as Python Go or Rust.

• Competitive base salary ranging from $150000 to $200000 per annum commensurate with experience.
• Meaningful equity packages (stock options) providing significant long-term ownership upside.
• Opportunity to work within a highly autonomous small and elite team environment with minimized bureaucracy.
• High-impact role defining the architectural baseline of a next-generation collaborative investing platform.

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

MLabs Ltd collects and processes the personal information you provide such as your contact details work history resume and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltds Privacy Policy and Information Security Policy and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting

Required Experience:

IC