Lead Java Software Engineer – Systematic Hedge Fund

Winston Fox
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer

[09/05/2025] ML (Machine Learning) Engineer

Head of Software Engineering | £150k – Java, Machine Learning, and Data-Driven Innovation

Data Architect

Lead Data Developer

Lead Java Software Engineer – Systematic Hedge Fund

Lead Java Software Engineer with around 7-10 years of experience, including relevant Financial Markets knowledge, sought to Co-Lead a team of 12 for a Multi-Award-Winning $5BN+ AUM Systematic Hedge Fund.

My client is one of the original Systematic Investment firms and is proud of its genuinely collegiate, friendly and supportive culture, with an enviably low staff attrition. This team covers all software front-to-back, outside of Portfolio Management and Research systems, including Execution and Order Management systems, as well as Risk, Fund Accounting, Operations and Corporate Functions. Software is mainly written in Java but the team also works with Python, MATLAB, SQL, AWS, Docker, Kubernetes, Linux and CI/CD, as well as integrating with various SaaS products, such as HRMS.

You will also work directly with a variety of business stakeholders to break down high level requirements into feasible technology solutions, whilst identifying opportunities to unlock business value. You will also take responsibility for best practice across the SDLC – for example with CI/CD, monitoring, and TDD. You will help junior team members develop and grow their careers through management and coaching, as well as engaging with the external Tech community through conferences and meetups.

Requirements

  • 7-10 years of experience as a software engineer in a professional environment, managing projects to take requirements from concept to production use.
  • Financial experience and domain knowledge – especially Buy Side and/or Electronic Trading. This could have been gained in a FinTech, Investment Bank, Investment Manager, Market Venue, or Trading firm.
  • Experience line managing, coaching or leading teams.
  • Strong development skills in core Java with the ability to work collaboratively and communicate clearly and concisely with both technical and non-technical audiences.
  • Experience in Python or MATLAB, and cloud and container technologies such as AWS, Docker, and Kubernetes preferred.
  • Excellent academic record with a minimum of a good Bachelor’s degree in a STEM subject, preferably Computer Science / Computing.

This is an excellent opportunity for a Lead Java Developer to grow their career in a world-class Systematic Trading environment with a genuinely friendly and supportive culture. This firm operates a three-day-per-week office-based policy and is NOT able to provide sponsorship.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Investment Management

#J-18808-Ljbffr

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.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.