Quantitative Developer (Low Latency) EMEA (F/M/D) (Basé à London)

Jobleads
Holloway
4 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer - C#

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths (Newcastle Upon Tyne)

Flowdesk is rapidly growing and looking for new talents!

Founded in 2020, Flowdesk is a regulated, full-service digital asset trading and technology firm that specializes in market making, OTC and treasury management services. We have engineered a trading infrastructure that integrates more than 120 centralized and decentralized exchanges. Combining proprietary technology with significant experience from traditional markets and algorithmic trading, Flowdesk brings control and transparency to digital asset markets.

Flowdesk has offices in France, Singapore, the U.S. and the U.K.

Job Description

Are you looking for an exciting opportunity to join a newly formed quant trading team at an innovative and exciting crypto trading firm?By joining us as a Quant Developer, you will have an opportunity to play a pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to):

  • Develop trading algorithms:Create and improve algorithms for trading, including those for low-latency, high-frequency trading.
  • Build front-office systems:Create systems for algorithmic trading, including data, risk, live trading, and post-trade.
  • Integrate with DeFi venues:Onboard real-time data feeds from DeFi protocols.
  • Backtest models:Test models on historical data to assess their feasibility and make improvements.
  • Implement risk management:Include stop-loss mechanisms, capital allocation limits, and other risk management criteria.
  • Monitor systems:Monitor systems in real time and debug issues.

For further background, Flowdesk is a technology and crypto financial services firm founded in 2020, operating globally and serving a wide range of clients across the globe. Flowdesk's ambition is to become one of the major technology providers in the space while operating in a fully compliant and efficient manner. The newly formed team in question is led by an industry-known HFT expert with experience building some of the most profitable trading desks within the space.

Location is either remote; or hybrid if you are based in London, Paris or Singapore.

Requirements

  • Very high level of raw programming talent.
  • 2+ years coding HFT systems/Trading system development.
  • Solid understanding of how order books, order state machines, etc. work.
  • Rust programming skills (can accept primarily C/C++ experience if they have at least used Rust before. All interviews and job tasks will be in Rust).
  • Familiarity with Crypto markets would be beneficial.

Skills and personality

  • Curious and autonomous.
  • Highly motivated and results-driven.
  • Strong maths and analytical skills.
  • Ability to successfully manage multiple tasks in a fast-paced collaborative environment.
  • Professional proficiency in English.
  • International environment (English is the main language).

Benefits

  • 100% health coverage.
  • Top-of-the-range equipment: Macbook, keyboard, laptop stand, 4K monitor & headphones.
  • Team events and offsites.
  • Coming soon: gym memberships, international mobility & many other cool benefits!

Recruitment process

Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

Here's what you can expect if you apply:

  • HR interview (30')
  • Technical interview (30')
  • Take home assignment + Live coding session (60')
  • Chat with the Head of People (30') and the Head of Department (30')

On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.