Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Cryptocurrency Trader

Crypto Trading Startup
Liverpool
7 months ago
Applications closed

Crypto Quant Trader


Location: Remote


About the Company


Our client is an innovative and forward-thinking trading firm operating at the forefront of cryptocurrency markets. Specializing in high-frequency trading and leveraging proprietary technology, they combine deep market expertise with cutting-edge strategies to drive exceptional results. Join their high-performance team and play a key role in shaping the future of trading.


The Opportunity


We are seeking an experiencedCrypto Quant Traderto optimize trading strategies, enhance profitability, and scale production. This is a hands-on role that requires a strong background in high-frequency crypto trading, systematic strategies, and a proactive mindset to thrive in a fast-paced and dynamic environment.


Key Responsibilities


  • Strategy Development & Optimization


  • Design, implement, and refine high-frequency, market-making, and arbitrage strategies across multiple exchanges.
  • Monitor real-time performance and make data-driven adjustments to maximize profitability and mitigate risks.


  • Hands-On Trading Execution


  • Actively manage positions across various exchanges, analyzing market trends, liquidity, and price action to make impactful decisions.
  • Ensure smooth daily trading operations, providing operational support when necessary.


  • Exchange Management


  • Optimize colocation setups and whitelist IP addresses to improve latency and trading performance.
  • Negotiate trading fees, credit lines, and commercial terms with exchanges to align with business goals.


  • Performance Tracking & Reporting


  • Track and analyze performance metrics such as PnL, ROI, and trading volume.
  • Identify risks and take proactive measures to ensure performance targets are met or exceeded.


  • Scaling & Growth


  • Scale successful trading configurations and strategies across venues to drive profitability.
  • Identify and capitalize on trading opportunities, including token-specific trends influenced by market sentiment.


  • Collaboration & Technical Expertise


  • Collaborate closely with researchers and developers to turn trading ideas into actionable, efficient models.
  • Utilize skills in programming (Rust, Python, or similar), statistical modeling, and time-series analysis to enhance trading strategies.


  • Risk Management & Post-Trade Analysis


  • Implement robust risk management protocols and analyze trading outcomes to generate insights for continuous improvement.


What You’ll Bring


  • At least5 years of trading experience, with3+ years in crypto high-frequency trading.
  • Proven track record of PnL generation and expertise in deploying market-making and arbitrage strategies.
  • Strong quantitative skills, including statistical modeling, time-series analysis, and programming expertise (Rust, Python, or similar).
  • Exceptional real-time decision-making skills to adjust strategies for optimal profitability.
  • Highly organized and tactical, with a structured approach to managing the full trading lifecycle.
  • Experience with systematic trading methodologies and a deep understanding of crypto markets.


Why Join?


  • Join a dynamic, forward-thinking team of experts in the cryptocurrency and trading space.
  • Work in a fully remote, high-performance environment where your contributions have a direct impact.
  • Competitive compensation package with opportunities to grow and innovate in the rapidly evolving crypto industry.


Make your mark in the world of crypto trading—apply today!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.