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

Nominate & Attend

Senior Quantitative Developer

Caxton Associates
London
3 weeks ago
Create job alert

About Caxton:

Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco , Singapore and Dubai. Caxton Associates’ primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments.

About the Role:

Caxton seeks a Quantitative Developer to join the firm’s Quantitative Development & Data team (QDD).

QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management.

The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff.

Responsibilities:

  • Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation
  • Build and maintain quant libraries in Python.
  • Architect and build scalable web services for applications and front office users
  • Promote best coding practices within the firm
  • Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services.
  • 7+ years of relevant experience
  • Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering)
  • Excellent quantitative reasoning and software design.
  • Strong Python skills.
  • Demonstrated experience with high-efficiency programming and multi-threading.
  • Clear grasp of SQL and relational database fundamentals.
  • Ability to multitask and produce high quality code.
  • Strong verbal and written communication skills.
  • Operates with the highest degree of ethics and integrity.

Nice to have:

  • Knowledge of financial instruments & data: FX, Futures, Interest Rates derivatives, Options
  • Proficiency in another programming language such as C#, Java or C++
  • Web development skills
  • Experience with AWS


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Quantitative Developer

Senior Quantitative Developer (Low-Level C++)

Senior C++ Quantitative Developer - Ultra High Frequency Trading- Leading Quant & Systematic Fu[...]

Senior C++ Quantitative Developer – Ultra High Frequency Trading

Senior C++ Quantitative Developer - Ultra High Frequency Trading- Leading Quant & Systematic Fund

Senior C++ Quantitative Developer – Ultra High Frequency Trading

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.