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- Tasks: Build a real-time app for analysing investment trade ideas and enhance global equity visibility.
- Company: Join Qube Research & Technologies, a leading quantitative investment manager with a collaborative culture.
- Benefits: Enjoy a healthy work-life balance, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in finance by developing innovative tech solutions for investment challenges.
- Qualifications: 5+ years in software engineering, expertise in C#, and strong collaboration skills required.
- Other info: Dynamic environment with a focus on innovation and diversity.
The predicted salary is between 36000 - 60000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join a development team building a new platform for managing and interpreting investment trade ideas from external contributors. The system is designed to enhance visibility into global equity opportunities and improve the firm’s ability to assess risk and reward. You’ll work on a real-time, always-on application, delivering iteratively in close collaboration with internal stakeholders. This is a fast-paced environment where technical ownership and user feedback shape the evolution of the platform.
Your future role within QRT:
- Build a real-time application for capturing and analysing investment trade ideas from external sources
- Design and operate a high-availability system with continuous data ingestion and processing
- Deliver iterative improvements in close collaboration with end users and stakeholders
- Own architectural and design decisions with an eye on long-term business outcomes
- Contribute to the evolution of the tech stack in line with platform needs and QRT-wide engineering standards
Requirements:
- 5+ years of experience as a software engineer
- Expertise in C# or a similar compiled, strongly typed, object-oriented language; willingness to work in C# is essential
- Strong communication and collaboration skills, with the ability to align development with business priorities
- Comfortable gathering requirements and setting direction in partnership with technical and non-technical colleagues
The following would be beneficial:
- Experience working in a trading or front-office environment
- Knowledge of distributed systems, observability, and system design principles
- Proficiency in Python
- Exposure to AWS and infrastructure-as-code tools such as Terraform
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Quantitative Developer - Trade Ideas, C# in London employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Trade Ideas, C# in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at QRT. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to C# or trading systems, make sure to highlight them. Real-world examples speak volumes!
✨Tip Number 3
Prepare for the interview by understanding QRT's culture and values. They love innovation and collaboration, so think of examples where you've thrived in similar environments.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Quantitative Developer - Trade Ideas, C# in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Developer. Highlight your experience with C# and any relevant projects that showcase your skills in building real-time applications. We want to see how your background aligns with our tech-driven approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at QRT and how your skills can contribute to our mission. Be sure to mention your collaborative mindset and any experience you have in trading environments.
Showcase Your Technical Skills: In your application, don’t forget to highlight your technical expertise, especially in C# and any other relevant languages or tools. If you've worked with distributed systems or AWS, make sure to include that too! We love seeing candidates who are technically savvy.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and submit your materials!
How to prepare for a job interview at Qube Research & Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in C# and any other relevant technologies mentioned in the job description. Brush up on your knowledge of distributed systems and system design principles, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since the role involves working closely with both technical and non-technical colleagues, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve aligned development with business priorities.
✨Prepare for Real-Time Scenarios
Given that you’ll be building a real-time application, think about challenges you might face in such an environment. Be ready to discuss how you would handle continuous data ingestion and processing, and share any relevant experiences you have.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s culture of innovation and how they approach risk and reward assessment. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.