At a Glance
- Tasks: Design and enhance advanced trading systems while developing your own quantitative models.
- Company: Join a prestigious trading firm that values innovation and mentorship.
- Benefits: Earn up to £180,000 plus bonuses and enjoy hybrid work flexibility.
- Why this job: Kickstart your career with cutting-edge tech and impactful projects from day one.
- Qualifications: Degree in STEM and strong programming skills in Python, C++, or Java.
- Other info: Fast career growth in a dynamic, performance-driven culture.
The predicted salary is between 108000 - 252000 £ per year.
Location: London (Hybrid)
Compensation: Up to £180,000 + Bonus + Benefits
Client: Prestigious Trading Firm
Kickstart Your Career in Technology & Quantitative Finance
Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship.
You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading.
What You’ll Do
- Design and enhance advanced trading systems and analytics platforms
- Develop and implement your own quantitative models and research ideas
- Collaborate closely with top technologists, quants, and portfolio managers
- Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture
What You’ll Bring
- Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline
- Strong programming skills in Python, C++, Java, C#, or KDB+/Q
- Analytical mindset with a passion for tackling complex, data-driven challenges
- Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments
Why Join
- Greenfield Work: Contribute to high-impact projects from day one
- Exceptional Mentorship: Learn from world-class engineers and quantitative researchers
- Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources
- Fast Career Growth: A meritocratic culture that rewards innovation and initiative
If you’re a motivated STEM graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you.
Apply now or reach out to me directly.
Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £180,000[...] in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £180,000[...] in London
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connect with professionals in the industry on LinkedIn. A personal introduction can make all the difference when you're trying to land that dream role.
✨Tip Number 2
Prepare for those interviews! Research common questions for software developers and quantitative roles, and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Show off your projects! Whether it's a personal coding project or a group assignment, having something tangible to discuss can really impress interviewers. Make sure to highlight your contributions and the impact of your work.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for fresh talent, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £180,000[...] in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your programming skills in Python, C++, or Java, and any relevant projects you've worked on. We want to see how you can contribute to our cutting-edge tech!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for technology and quantitative finance, and explain why you're excited about this opportunity. Let us know how your analytical mindset can tackle complex challenges in our fast-paced environment.
Showcase Your Projects: If you've worked on any greenfield projects or developed your own quantitative models, make sure to include them in your application. We love seeing initiative and creativity, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python, C++, Java, or any other relevant languages. Be ready to discuss your projects and how you've applied these skills in real-world scenarios. This is your chance to show off your technical prowess!
✨Show Off Your Analytical Mindset
Prepare to tackle some complex, data-driven challenges during the interview. Think about examples from your studies or previous experiences where you solved tough problems. Highlight your curiosity and how you approach analytical tasks.
✨Understand the Company Culture
Research the trading firm’s values and work environment. They’re all about innovation and cutting-edge tech, so be prepared to discuss how you fit into that culture. Show them you’re not just a tech whiz but also someone who thrives in a fast-paced, collaborative setting.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about the greenfield projects you'll be working on or the mentorship opportunities available. This shows you’re genuinely interested and eager to contribute from day one.