At a Glance
- Tasks: Develop cutting-edge software that drives market movements and enhances trading strategies.
- Company: Join a tech-driven systematic quant fund in London, blending engineering with finance.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with top-tier engineers in a supportive, high-performance culture.
- Why this job: Make a real impact by solving complex problems in a dynamic, innovative environment.
- Qualifications: Strong coding skills, algorithmic thinking, and a passion for engineering and research.
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. The team is in a deliberate build phase with a strong bank of research ideas already in place, and the engineering capability being built around them now.
- 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.
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 in City of 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, the firm offers unique opportunities for professional growth within a cutting-edge environment that blends engineering with research, allowing employees to work on complex challenges while being supported by a team of highly skilled and enjoyable colleagues. With a focus on high-quality talent and a dynamic approach to technology-driven trading, this is a place where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Your Code Moves Markets | Software Engineer | Systematic Quant Fund | London in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at tech meetups. Ask them about their experiences and the company culture. This insider info can give you an edge and might even lead to a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project that showcases your coding chops, make sure to highlight it. It’s a great way to demonstrate your engineering instinct and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. Practice coding challenges on platforms like LeetCode or HackerRank. The more comfortable you are with these concepts, the better you'll perform under pressure.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! We know the ins and outs of this firm and can help you stand out. Plus, we’re here to support you throughout the process, so let’s get you that dream job!
We think you need these skills to ace Your Code Moves Markets | Software Engineer | Systematic Quant Fund | London in City of 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 and the innovative solutions you've come up with. We want to see your thought process and how you approach challenges!
Tailor Your Application:Make sure to tailor your application specifically for this role. Highlight your experience with full-stack development and any relevant projects that demonstrate your ability to work in a research and production environment. We love seeing candidates who take the time to connect their skills to what we do!
Keep It Clear and Structured:Just like clean code, your application should be clear and structured. Use concise language and bullet points where necessary to make it easy for us to read. Remember, we’re looking for strong algorithmic thinking, so show us you can communicate effectively too!
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 it gets into the right hands. Plus, it shows you’re serious about joining our team and ready to dive into the exciting work we do!
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. They value engineers who are proactive and enjoy collaboration. Show that you’re not just a coder but someone who thrives in a dynamic environment where you can contribute ideas and solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. This firm is looking for engineers who can think critically and adapt quickly, so highlight your experience with complex problem-solving, especially in real-time systems.
✨Demonstrate Technical Proficiency
Brush up on your Python skills and be ready to discuss your experience with system design and algorithmic thinking. They want to see that you can write clean, structured code under pressure, so consider doing some coding exercises beforehand to sharpen your skills.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their work and the challenges they face. Inquire about their current projects or the technologies they use. This not only demonstrates your enthusiasm but also helps you gauge if this is the right fit for you.
