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

Apply Now

iSAM Securities: Quantitative Developer - Crypto (Basé à London)

Jobleads
London
4 months ago
Applications closed

iSAM Securities: Quantitative Developer - Crypto

Department:iSAM Securities - Development

Employment Type:Permanent

Location:London


Description

iSAM Securities combines innovative technology and robust risk management to identify trading opportunities and provide electronic liquidity in spot FX, Futures, Crypto currency instruments and Index Swaps to its client base. High-performance, distributed systems handle high message rates, large order bursts, and significant market risk. In addition to developing and managing the technology stack from price construction to risk management and order execution, the quantitative development team work closely with quantitative researchers to implement new trading models, and the firm’s trading team who actively monitor the system.


Key Responsibilities

  • Work closely with the quant research team on a greenfield build to provide a crypto market making capability in Java
  • Contribute to the monitoring, development and improvement of the trading strategies on an ongoing basis, including robust risk management and mark-to-market portfolio valuation
  • Establish automated deployment management via AWS (or similar) for optimal trading performance
  • Develop components alongside the existing high performance trading architecture


Skills, Knowledge and Expertise

  • Strong academic background in a numerate or technical subject
  • Experience of developing and maintaining crypto market-making strategies both on exchange and/or OTC
  • High degree of proficiency in Java
  • Ability to work closely with quantitative researchers to implement and improve trading strategies
  • Some exposure to Java technologies such as SBE, Aeron and Disruptor
  • Experience of cloud-based automated deployment strategies.
  • Any Python/KDB experience is nice to have
  • Exposure to mathematical modelling and machine learning techniques
Personal Attributes:
  • Team oriented mentality
  • Strong troubleshooting, problem solving and ownership skills
  • Creative, motivated, self-starter
Key Outcomes:
  • Develop a high-performance crypto market-making platform that has:
  • Accurate control and risk management
  • Deterministic and replayable trading system behaviour
  • Quick and accurate real-time signal processing
This project represents a great opportunity for a motivated engineer to architect a greenfield trading platform in a meritocratic environment. There is considerable scope for writing and improving the trading strategies in collaboration with our highly skilled team of quants and engineers. The successful candidate will gain valuable exposure to existing strategies deployed across other asset classes outside of crypto, providing an opportunity for growth.

#J-18808-Ljbffr

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 Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.