At a Glance
- Tasks: Interface with teams to ensure accurate trade reflections and automate processes.
- Company: Top-tier global proprietary trading firm known for innovation and intellectual rigor.
- Benefits: Competitive salary, dynamic work environment, and opportunities for personal projects.
- Other info: Ideal for 2026 graduates eager to learn and grow in a rewarding environment.
- Why this job: Join a fast-paced team and solve complex problems using cutting-edge technology.
- Qualifications: STEM degree, strong maths skills, and basic coding knowledge required.
The predicted salary is between 29700 - 36300 £ per year.
Trading Desk Engineer Operations Engineer – Quant Trading2026 Start Our client is a top-tier global proprietary trading firm that leverages the latest technology, sophisticated algorithms and deep knowledge to trade in capital markets globally.
This is an environment of science and intellectuals.
The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart entrepreneurial people deeply interested in the sector who are ready to teach what they know.
We are looking for 2026 graduates of juniors with sub-2 years of experience and the ability to deal with quick, difficult maths problems.
You will interface with various groups within the business to ensure that all trades are reflected accurately in all systems.
Specifically, the Trading Desk Engineer Operations Engineer will be involved with research, rapid development execution of trade orders, automation of processes, and personal projects.
This position sits directly in a trading team and is a highly sought-after role.
The role requires close collaboration with the traders, researchers and technical parts of the business to best align technical solutions with the schedules and analytic needs of various strategies.
This is a role for someone with a strong level of applied mathematics or engineering with an interest in solving problems and working in a fast-paced, rewarding environment.
Trade Desk Operations Engineer MUST have: STEM degree from a top ranked University with exceptional grades A at A-level Maths or equivalent Excellent problem solver Strong attention to detail Logical thought processes An interest in coding with some fundamental skills in one language (VBA, Ruby, Go, Lua, Scala, Python or C++ or OO Language)An appetite for delivering solutions to complex problem My client is based in London
Trading Desk Engineer Operations Engineer – Quant Trading in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Desk Engineer Operations Engineer – Quant Trading in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quant Capital!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quant Capital.
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When you find a suitable opening like Trading Desk Engineer Operations Engineer – Quant Trading at Quant Capital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Trading Desk Engineer Operations Engineer – Quant Trading in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quant Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quant Capital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quant Capital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quant Capital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
