Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Market Data team to enhance data systems and develop innovative solutions.
- Company: Be part of a rapidly scaling unicorn in the heart of London.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant company culture.
- Why this job: Shape market data strategy while working on cutting-edge technology in a collaborative environment.
- Qualifications: 5+ years in large-scale systems, strong Python skills, and a degree in a relevant field.
- Other info: Opportunity to integrate new data sources and develop visualisation tools.
The predicted salary is between 54000 - 84000 £ per year.
Our client, a rapidly scaling unicorn, is seeking a talented Quantitative Developer to join their Market Data team in London. This is a unique opportunity for an experienced Software or Quantitative Developer to play a key role in shaping the organisation's market data strategy. You'll contribute to both product and infrastructure development, enhancing the firm's data ingestion and query frameworks. Your work will focus on improving functionality, performance, scalability, robustness, and usability across the platform.
Key Responsibilities
- Drive the development of the firm's market data roadmap.
- Contribute to both product features and core infrastructure enhancements.
- Build and optimise data ingestion and query systems.
- Integrate new pricing data sources into the platform.
- Develop UI and visualisation tools to improve transparency and control of market data systems.
Requirements
- 5+ years of experience building large-scale or low-latency systems at a top-tier firm.
- Strong background in market data or trading infrastructure.
- Proficiency in Python, with the ability to write robust, maintainable, and high-performance production code.
- Solid understanding of asyncio, Kafka, and time-series databases.
- Degree (BSc or higher) in Computer Science, Mathematics, or a related field.
- Excellent communication skills and a collaborative mindset.
Quantitative Developer - Market Data employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Market Data
✨Tip Number 1
Familiarise yourself with the latest trends in market data and trading infrastructure. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the quantitative development field. Attend industry meetups or webinars to connect with others who work in market data, as they might provide insights or even referrals for the position.
✨Tip Number 3
Brush up on your Python skills, especially focusing on asyncio and performance optimisation techniques. Being able to discuss specific projects where you've implemented these skills can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with data ingestion and query systems. Be ready to share examples of how you've improved functionality and scalability in past roles, as this aligns closely with the responsibilities of the job.
We think you need these skills to ace Quantitative Developer - Market Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building large-scale or low-latency systems. Emphasise your proficiency in Python and any relevant projects that showcase your skills in market data or trading infrastructure.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Quantitative Developer and how your background aligns with the company's market data strategy. Mention specific technologies like asyncio, Kafka, and time-series databases that you have worked with.
Showcase Relevant Projects: If you have worked on projects related to data ingestion, query systems, or UI visualisation tools, be sure to include these in your application. Provide details on your contributions and the impact they had on the project.
Highlight Communication Skills: Since excellent communication skills are essential for this role, consider including examples of how you've successfully collaborated with teams or stakeholders in previous positions. This will demonstrate your collaborative mindset.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant frameworks like asyncio and Kafka. Bring examples of past projects where you built large-scale or low-latency systems, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Market Data Fundamentals
Brush up on your knowledge of market data and trading infrastructure. Being able to speak confidently about how data flows through a trading system and the importance of data integrity will impress the interviewers and show that you're serious about the role.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges that focus on data ingestion and query optimisation, as these are key responsibilities in the job description. This will help you think on your feet and showcase your analytical skills.
✨Demonstrate Collaboration and Communication Skills
Since the role requires a collaborative mindset, be ready to discuss how you've worked effectively in teams in the past. Share examples of how you communicated complex technical concepts to non-technical stakeholders, as this will highlight your ability to work well within a team.
