National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Developer - Crypto...

Caspian One
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer - Equities (Basé à London)

Quantitative Developer (Basé à London)

Quantitative Developer, Python (Basé à London)

Quantitative Developer, Java

Quantitative Developer

Job Description Job Title: Quantitative Developer
(Java) Location: London Description of Role and Seniority: The role
involves working as a Quantitative Developer within a team that
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. The
team handles high-performance, distributed systems that manage high
message rates, large order bursts, and significant market risk. The
quantitative development team collaborates closely with
quantitative researchers to implement new trading models and with
the trading team to actively monitor the system. 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 Key Responsibilities: - Develop and manage the technology
stack from price construction to risk management and order
execution. - Provide crypto CFD pricing and build out the team to
expand in this area. - Build a market-making business in crypto,
including developing a system that can hedge and run proprietary
risk. - 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
trading strategies, 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. Must-Have Technical Skills:

  • Proficiency in Java, with experience in developing and
    maintaining crypto market-making strategies both on exchange and/or
    OTC. - Strong academic background in a numerate or technical
    subject. - 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 with
    cloud-based automated deployment strategies. Nice-to-Have Technical
    Skills: - Experience with time-series data analysis, particularly
    in FX. - Knowledge of KDB is a plus but not essential. Must-Have
    Business Skills: - Experience in the crypto domain, particularly in
    providing client pricing in bitcoin and managing the associated
    risks. - Understanding of market-making in FX and crypto, including
    distribution and pricing mechanisms. Nice-to-Have Business Skills:
  • Knowledge of efficient communication of pricing data between
    different locations, such as AWS in Hong Kong and Tokyo. Other
    Essential Skills: - Strong communication skills and the ability to
    work in a collaborative environment. Interview Process: - Phone
    interview. - Technical test to check proficiency in Python/Java. -
    Verbal interview to discuss the candidate's experience and skills.
  • Three rounds of interviews in total. Team Size & Office
    Location/Culture: - Team size: 3 (CTO, 1 joining). - Office
    location: London. - Culture: Collaborative and meritocratic
    environment. Remote/Hybrid Days: - 4 days in the office per
    week.
National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.