At a Glance
- Tasks: Develop cutting-edge software that drives market movements and enhances trading strategies.
- Company: Join a dynamic systematic quant fund that values engineering and innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with excellent career advancement potential.
- Why this job: Make a real impact by blending engineering with research in a fast-paced setting.
- Qualifications: Strong coding skills and a passion for problem-solving; finance experience not required.
The predicted salary is between 60000 - 80000 € per year.
The engineers who thrive here are not the ones who wait to be told what to build. Our client sits closer to a world-class technology company than a traditional financial firm. They are a data and technology-driven trading business that has built its edge entirely through engineering and research, with no reliance on discretionary judgment or market intuition. The infrastructure they operate is the product. Getting it right is everything.
We have worked closely with this firm for a number of years and have placed multiple engineers across their teams. The people already here are exceptionally good and unusually enjoyable to work with. Both things matter in equal measure.
The Environment
This is not a support function and it is not a role with a fixed brief. You will work directly inside the research and production machine, on problems where the line between engineering and research is genuinely blurred. The firm does not require finance experience. Strong engineers from top-tier technology companies have joined here and thrived, and in many cases brought something the firm could not have hired from within the industry. What they cannot teach is engineering instinct. What they will not compromise on is the quality of the people in the room.
The Work
You will operate across a research and production environment spanning the full stack from signal development through to live deployment. Depending on your background and where you add most value, the work could take you across any of the following:
- Modelling how trading activity moves markets. When size moves through a market, how does price respond, and how do you build systems that understand and predict that dynamically in real time? This is ML research and live systems engineering working as a single discipline.
- Building the compute infrastructure that enables researchers to develop, iterate, and run signals at scale. The goal is a research function that is faster, more capable, and able to push into increasingly complex territory. This is not tooling that sits to the side of the real work. It is infrastructure that sits underneath it.
- Solving how increasingly complex models get deployed and served efficiently in live environments. The specific challenge right now is moving from CPU-only signal hosting to GPU-accelerated inference across a large and growing signal library.
The production environment uses a typed, compiled language. You do not need to arrive knowing it, but you need to be comfortable in that paradigm and serious about learning. The bar here is not knowing the framework. It is knowing how to use a language to get the best out of the hardware underneath it. Python is the primary language across the teams. The technical bar is high throughout: clean structured code under pressure, strong algorithmic thinking, and the ability to reason about system design from high level architecture down to implementation detail.
Get in Touch
If this resonates, reach out directly. We have deep visibility across this firm's teams and can give you a genuine picture of the problems, the people, and whether this is the right move for you right now.
Your Code Moves Markets | Software Engineer | Systematic Quant Fund | London employer: Mondrian Alpha
This company stands out as an exceptional employer due to its commitment to fostering a collaborative and innovative work culture, where engineers are empowered to take initiative and contribute directly to impactful projects. Located in London, it offers a dynamic environment that blends cutting-edge technology with quantitative research, providing employees with unique opportunities for professional growth and the chance to work alongside some of the brightest minds in the industry. With a focus on high-quality engineering and a supportive team atmosphere, this firm is ideal for those seeking meaningful and rewarding employment in the tech-driven finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Your Code Moves Markets | Software Engineer | Systematic Quant Fund | London
✨Tip Number 1
Network like a pro! Connect with people in the industry on LinkedIn or at tech meetups. Don’t just wait for job postings; reach out to engineers and ask about their experiences. You never know when a conversation might lead to an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your engineering instinct and problem-solving abilities. Share it during interviews or even in casual chats with potential employers to make a lasting impression.
✨Tip Number 3
Prepare for technical challenges! Brush up on your algorithmic thinking and system design skills. Practice coding problems and be ready to discuss how you approach complex issues, as this is key in a high-tech environment like the one we’re talking about.
✨Tip Number 4
Apply through our website! We’ve got the inside scoop on this firm and can help you navigate the application process. Plus, applying directly shows your enthusiasm and commitment to joining their innovative team.
We think you need these skills to ace Your Code Moves Markets | Software Engineer | Systematic Quant Fund | London
Some tips for your application 🫡
Show Your Engineering Instinct:When you're writing your application, let your engineering instinct shine through. Share examples of how you've tackled complex problems in the past and how you approach challenges creatively. We want to see your thought process!
Tailor Your Application:Make sure to customise your application for this role. Highlight your experience with full-stack development and any relevant projects that demonstrate your ability to work across research and production environments. We love seeing how you fit into our world!
Keep It Clean and Structured:Just like clean code is essential in our work, your application should be clear and well-structured. Use concise language and bullet points where necessary to make it easy for us to read. We appreciate a tidy presentation!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Mondrian Alpha
✨Understand the Company Culture
Before your interview, take some time to research the company’s culture. This firm values engineers who are proactive and enjoy collaboration. Be ready to discuss how you’ve thrived in similar environments and how you can contribute to their team dynamic.
✨Showcase Your Engineering Instinct
During the interview, highlight your engineering instincts and problem-solving skills. Prepare examples of past projects where you had to think critically and adapt quickly. They want to see how you approach complex challenges, so be specific about your thought process.
✨Familiarise Yourself with Relevant Technologies
Brush up on the technologies mentioned in the job description, especially Python and any experience with GPU-accelerated systems. Even if you’re not an expert, showing that you’re eager to learn and adapt will impress them. Bring up any relevant projects or experiences you have.
✨Prepare for Technical Questions
Expect technical questions that test your algorithmic thinking and system design skills. Practice coding problems and be ready to explain your reasoning. They’ll appreciate clear, structured code and a solid understanding of how to optimise performance under pressure.
