Quant Developer (Java)

Mile End and Globe Town
11 months ago
Applications closed

Related Jobs

View all jobs

Applied AIML Lead- Python & Data Science Engineering

Applied AIML Lead- Python & Data Science Engineering

Applied AIML Lead- Python & Data Science Engineering

Machine Learning Quant - Start Up

Machine Learning Quant - Start Up...

Quant Developer (Java)

Location: London

Market Data Analytics Team

Are you a passionate Quant Developer looking for your next big challenge? We are seeking a talented individual to join our Market Data Analytics team in London. This is your chance to work in a real-time data analytics environment, building cutting-edge cross-product pricing models. You’ll start with Bonds and have the opportunity to expand your expertise into other asset classes, including Interest Rate Swaps, FX, FX Options, Interest Rate Options, Equities, Commodities, and Precious Metals.

About the Team

Our team is a vibrant mix of quantitative analysts, data scientists, developers, and product specialists. We’re all about collaboration, innovation, and delivering high-quality data solutions for our Market Data business. Working here means you’ll be part of projects that make a real difference, gaining insights from different corners of the organization and pushing the boundaries of what’s possible.

What You'll Need:

  • Strong Java skills: You’ve got the chops to write clean, efficient code.

  • Pricing Analytics Background: You know your way around pricing models and analytics.

  • Experience in at least one asset class: Sovereign Debt experience is a big plus!

  • Real-time, event-driven environments: You thrive in fast-paced, dynamic settings.

  • Shared Frameworks: You’re comfortable working within shared frameworks to deliver solutions.

  • Data-Driven Development: Back-testing, unit-testing, and mocking are second nature to you.

  • Multilingual Programming Background: You’re versatile and open to learning new languages.

    Bonus Points For:

  • Multiple Asset Classes: The more, the merrier!

  • Relational & NoSQL Databases: Experience with KDB (ideal), Oracle, Sybase, or Cassandra.

  • Electronic Trading Systems & Execution Platforms: Exposure to these is a big plus.

  • Container Frameworks: Experience with containerization and related tools.

  • Additional Languages/Technologies: Python, C++, KDB+/Q, C#, and C.

    Why join this team?

    This isn’t just another job—it’s a chance to make a real impact. If you’re driven, eager to grow, and excited about creating innovative pricing solutions, we want to hear from you. In return, we offer a competitive salary, a generous bonus package, and the chance to work in a supportive, forward-thinking environment.

    Ready to take the next step in your career? Apply today and become a key player in our dynamic team

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.