At a Glance
- Tasks: Build core infrastructure for a leading systematic investment team using Python and C++.
- Company: Exciting new firm spun out from a globally recognised hedge fund.
- Benefits: Highly competitive salary, bonuses, and relocation support.
- Other info: Four days in-office, Mondays remote; exceptional career growth opportunities.
- Why this job: Join a high-performing startup culture and shape the future of quantitative trading.
- Qualifications: Bachelor's degree in Computer Science, Maths, or related fields; strong Python and C++ skills.
Must have Bachelor's Degree in Computer Science, Maths, Stats, or Operations Research.
Recruit From UK only.
Annual Salary - £250,000 - £600,000 (base salary £120k - £160k+).
Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks.
Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux.
Remote Status - No Remote.
Client Willing to Sponsor - Yes.
Relocation Paid - Yes.
Other Compensation - Base + Bonus.
A leading systematic investment team is spinning out from a globally recognised hedge fund into an independent firm already managing $6bn+ AUM, with ambitions to become one of the largest quant spinouts in the industry. They are hiring senior Quantitative Developers / Research & Data Engineers in London to help build the core infrastructure of the new platform. The environment combines the backing, leadership, and track record of an established fund with the speed, ownership, and technical culture of a high-performing startup. The CTO personally reviews candidates and expects exceptional technical and communication skills.
The role covers areas such as real-time market data systems, quantitative research infrastructure, cloud-based simulation platforms, trading execution environments, and tooling for new strategies and asset classes. The stack is primarily Python with C++, across cloud and on-prem infrastructure. Candidates must have strong buy-side or equivalent high-performance engineering experience, deep Python and good C++ skills, quantitative understanding, and the ability to own major technical initiatives. Strong academic backgrounds from top universities are required.
Compensation is highly competitive, with London base salaries from £120k - £160k+ and total compensation commonly ranging from £450k to £600k+ depending on impact and seniority. Four days in-office, Mondays remote. This is a rare opportunity to join a major quantitative trading spinout before the transition completes - at the stage where early hires help define the future platform and culture.
Senior Quantitative Developer - LONDON UK employer: Park Lane Recruitment Ltd
Join a pioneering systematic investment team in London, where you will be at the forefront of building innovative quantitative trading infrastructure. With a competitive salary package and a vibrant work culture that blends the agility of a startup with the stability of an established hedge fund, this role offers exceptional opportunities for professional growth and the chance to shape the future of the firm. Enjoy a collaborative environment that values technical excellence and encourages ownership of major initiatives, all while being part of a dynamic team dedicated to pushing the boundaries of quantitative research.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Developer - LONDON UK
✨Get Involved in Data Science Communities
Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Park Lane Recruitment Ltd.
✨Utilise University Career Services
Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Park Lane Recruitment Ltd who are on the lookout for fresh talent, so don’t miss out on those opportunities!
✨Show Off Your Projects
Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Park Lane Recruitment Ltd to see what you can achieve beyond your degree.
✨Be Active on LinkedIn
Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Park Lane Recruitment Ltd.
We think you need these skills to ace Senior Quantitative Developer - LONDON UK
Some tips for your application 🫡
Show Off Your Technical Skills!:When applying for a data science internship like the one at Park Lane Recruitment Ltd, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!
Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.
Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!
Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!
How to prepare for a job interview at Park Lane Recruitment Ltd
✨Master the Tech Stack
As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.
✨Portfolio Power
Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.
✨Explain Your Thought Process
Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.
✨Show Your Curiosity
For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.
