Quantitative Trader - Exchange (must have crypto or HFT experience)

B2C2
London
2 weeks ago
Create job alert

About us:


Founded in 2015, B2C2 is a global leader for institutional liquidity within digital assets. We bring 24/7 365 day a year deep reliable pricing for spot, futures, options, CFDs and NDFs across all market conditions. Our growing team has deep expertise in pricing, structuring, risk, systems, and regulatory aspects.


B2C2 bridges the gap between traditional financial and digital assets markets, which are relied upon by brokerages, exchanges, banks and fund managers to provide 24/7 liquidity. Headquartered in London, with global offices in Paris, Jersey City, Tokyo, Singapore and Luxembourg, our fast-growing team has expertise in traditional financial and crypto markets.


We pride ourselves on our company culture and ability to attract not only the top talent but the right people. If you are looking for a role in an exciting new industry, at a dynamic company please keep reading.


About the role:


As we scale, we are looking for quantitative traders to monetise opportunities on exchanges, manage risk, develop and deploy models. This is a high impact role at the cutting edge of digital asset trading.


Duties and Responsibilities:


  • Manage and optimise the strategies used to make markets on crypto exchanges.
  • Responsible for the PL of team and individual strategies.
  • Develop and improve the models and strategies using quantitative methods.
  • Collaborate with Quant Dev and Research during the full lifecycle of alpha and signals development and deployment.
  • Conduct research and data analysis on bespoke trading data.


Required Skills and experience:


  • University degree in a numerical degree, with strong grades.
  • 3 years+ experience with systematic trading.
  • Proficiency in Python/ Q, be that through personal projects or within a professional environment.
  • Practical experience with C++ / Java or any other OOP highly desired.
  • Knowledge of exchange microstructure and low latency trading techniques.
  • Ability to work in a fast-paced fluid environment at the cutting edge of trading and technology within the industry.
  • An entrepreneurial mind set and a natural intuition for risk, pricing, and how crypto markets function.
  • Excellent teamwork and clear communication skills and ability to express ideas.
  • Someone that thrives when given the space and opportunity, you’ll receive all of that here.
  • Ability to develop new skills and understand market developments as required.
  • Aware of the importance of considering risk management and compliance issues.
  • Continually demonstrates application of group policies and relevant regulatory framework.


What we offer:


  • An amazing global culture, who are ambitious, innovative and fun while working with the highest levels of honesty and integrity.
  • Two discretionary bonus awards a year.
  • A range of benefits in line with local market practice.
  • Regular fun events and activities, as well as Social Impact volunteering days.

Related Jobs

View all jobs

Quantitative Trader - Exchange (must have crypto or HFT experience)

Rates Trading Strategies - Quantitative Trader - Associate or Vice President

Associate/VP, Quantitative Developer - London...

Quantitative Analyst

Quantitative Developer

Quantitative Developer

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.