Quant / Trading Engineer in London
Quant / Trading Engineer

Quant / Trading Engineer in London

London Full-Time 54000 - 75000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Transform raw market data into actionable signals and build high-performance APIs.
  • Company: Join a pioneering team in the onchain financial markets space.
  • Benefits: Competitive salary, equity packages, and a remote-first work culture.
  • Why this job: Shape the future of trading with cutting-edge technology and innovative solutions.
  • Qualifications: Experience with Hyperliquid or similar onchain exchanges is essential.
  • Other info: Be part of a dynamic team where your contributions directly impact the product.

The predicted salary is between 54000 - 75000 £ per year.

We are building a foundational layer for the next generation of financial markets: perpetual markets based on onchain economic activity. Instead of merely pricing assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy.

As a member of our early-stage team, you will work at the intersection of quantitative finance, crypto market structure, and high-performance onchain data systems. Your mission is to build the signal layer and APIs that make autonomous trading agents materially more effective. You won’t just be moving data; you’ll be converting raw market behavior into high-fidelity, agent-readable signals.

What You Will Do

  • Signal Engineering: Convert raw market data and trader behavior into structured, agent-readable signals and production-grade APIs.
  • Agent Optimization: Design features specifically intended to reduce ambiguity for autonomous agents, minimizing the need for complex "prompt-wrangling."
  • System Ownership: Ship and maintain pipelines and services that run continuously, ensuring high availability and evolving over time.
  • Output Delivery: Develop and refine target outputs including:
  • Correlation and regime detection models.
  • Advanced trader tags and behavioral taxonomy.
  • Candle and market structure feature sets.
  • Real-time risk and momentum indicators.
  • Confidence and edge scoring with rigorous schemas and validation.

Onchain Perps Expertise (Non-Negotiable): You must have hands-on experience with Hyperliquid or a similar onchain perpetual exchange. Candidates without specific experience in this niche will not be considered.

Data Architecture: Proven ability to build robust data pipelines and services that handle high-throughput financial data.

Crypto Market Literacy: A deep understanding of onchain market structure, capital flows, and the mechanics of decentralized protocols.

Engineering Excellence: Experience building production APIs with a focus on low latency, schema validation, and reliability.

Autonomy: A builder’s mindset—you are comfortable working in the "early and foundational" stage where you define the path forward.

Foundational Impact: Join an early-stage team where your work directly shapes the product and the future of onchain perpetual markets.

Cutting-Edge Tech: Work at the forefront of the Hyperliquid ecosystem and the burgeoning autonomous agent economy.

Competitive Compensation: Competitive salary and equity packages.

Remote-First Culture: High-autonomy environment designed for self-driven engineers.

Professional Growth: Opportunity to solve complex problems at the intersection of quantitative finance and blockchain infrastructure.

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.

Quant / Trading Engineer in London employer: MLabs Ltd

At MLabs, we pride ourselves on being an exceptional employer, offering a remote-first culture that empowers self-driven engineers to thrive in a high-autonomy environment. Our commitment to professional growth is evident as you tackle complex challenges at the cutting edge of quantitative finance and blockchain technology, all while enjoying competitive compensation and equity packages. Join our early-stage team and make a foundational impact in shaping the future of onchain perpetual markets.
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Contact Detail:

MLabs Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant / Trading Engineer in London

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the crypto and finance space. Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to onchain data systems or trading algorithms. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Don’t just apply blindly! Tailor your approach for each application. Research the company, understand their tech stack, and mention how your experience aligns with their needs. This shows you’re genuinely interested and not just sending out generic applications.

✨Tip Number 4

Apply through our website! We love seeing candidates who take the initiative to apply directly. It’s a great way to ensure your application gets noticed and shows you’re keen on joining our team at StudySmarter.

We think you need these skills to ace Quant / Trading Engineer in London

Signal Engineering
API Development
Data Pipeline Construction
Onchain Perpetual Exchange Expertise
Crypto Market Structure Understanding
Low Latency Systems Design
High-Throughput Data Handling
Autonomous Agent Optimisation
Correlation and Regime Detection
Real-Time Risk Indicators
Schema Validation
Problem-Solving in Quantitative Finance
Adaptability in Early-Stage Environments
Technical Communication Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with onchain perpetual exchanges like Hyperliquid. We want to see how your skills align with our mission of building the next generation of financial markets.

Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! We’re looking for candidates who can build robust data pipelines and production APIs, so make sure to include relevant projects or experiences that demonstrate your engineering excellence.

Be Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain your past roles and achievements. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.

Apply Through Our Website: We encourage you to apply directly through our website. This helps us keep track of applications more efficiently and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at MLabs Ltd

✨Know Your Onchain Perps

Make sure you brush up on your knowledge of onchain perpetual exchanges, especially Hyperliquid. Be ready to discuss your hands-on experience and how it relates to the role. This will show that you understand the market structure and can hit the ground running.

✨Showcase Your Signal Engineering Skills

Prepare to talk about your experience in converting raw market data into structured signals. Bring examples of past projects where you've built APIs or worked on data pipelines, as this will demonstrate your technical prowess and relevance to the job.

✨Demonstrate Your Autonomy

This role requires a builder’s mindset, so be ready to share instances where you've taken initiative in previous positions. Discuss how you've defined paths forward in early-stage projects and how you thrive in high-autonomy environments.

✨Prepare for Technical Questions

Expect to face some challenging technical questions related to data architecture and engineering excellence. Brush up on low latency systems, schema validation, and reliability in production APIs. Being well-prepared will help you stand out as a strong candidate.

Quant / Trading Engineer in London
MLabs Ltd
Location: London

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