Java Software Engineer - Trading in London

Java Software Engineer - Trading in London

London Full-Time No working from home possible
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At a Glance

  • Tasks: Join our eFX Quantitative Developer team to design and implement cutting-edge trading algorithms.
  • Company: Dynamic financial firm leading in automated FX trading with a collaborative culture.
  • Benefits: Flexible rate, hybrid work model, and opportunities for rapid career advancement.
  • Other info: Fast-paced environment with multiple production releases daily and excellent growth potential.
  • Why this job: Be at the forefront of algorithmic trading and make a real impact in the finance world.
  • Qualifications: Strong Java skills and experience in low-latency trading platforms required.

We are seeking an experienced candidate to join our eFX Quantitative Developer team within Global Markets.

The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line. You will take ownership of initiatives from initial analysis through to design, implementation and delivery.

You will be involved in every aspect of algorithmic trading:

  • Designing, implementing and back-testing pricing and execution strategies
  • Designing and building analytics to assess model and platform performance
  • Latency analysis and optimisation

A highly technical and innovative quant development team leading automated trading in FX. Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities. Focused on maximising automation and performance in order to drive eTrading revenues. Operating in a highly agile manner, releasing to production multiple times per day.

Requirements:

  • Strong business knowledge of electronic trading, ideally eFX
  • Proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms
  • Collaboration with quantitative analysts to design and implement algorithmic trading models and controls
  • Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques
  • Familiarity with time-series databases (preferably KDB) and Python for building analytics and reports
  • Full stack development experience is an advantage (preferably React) particularly for building monitoring dashboards and trader-facing tools

Java Software Engineer - Trading in London employer: Non-disclosed

Join a dynamic and innovative fintech company that prioritises remote work and values employee growth. With a strong focus on collaboration and high engineering standards, this organisation offers a supportive work culture where your contributions directly enhance client experiences. As part of a profitable and expanding team, you'll have the opportunity to work on cutting-edge financial analytics while enjoying the flexibility of a remote-first environment.

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Contact Details:

Non-disclosed Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Java Software Engineer - Trading in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Java Software Engineer - Trading in London

Java Programming
Low-Latency Programming
Event-Driven Architecture
Algorithmic Trading
Quantitative Analysis
Time-Series Databases
KDB

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Non-disclosed.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Non-disclosed and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Non-disclosed

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Non-disclosed uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.