At a Glance
- Tasks: Design and maintain cutting-edge market data systems using C# in a fast-paced environment.
- Company: Join a leading global hedge fund with a high-performing tech team.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Collaborate with quants and traders in a supportive, innovative atmosphere.
- Why this job: Make an impact on trading and risk functions while working with top-tier technology.
- Qualifications: Degree in a quantitative field and 1+ years of C# development experience.
The predicted salary is between 60000 - 80000 € per year.
Attribution Search is partnered with a leading global hedge fund, looking to hire a C# Developer into their Market Data Technology team. This is an exciting opportunity to join a high-performing environment, working on business-critical systems that support trading and risk functions across multiple asset classes. The team is responsible for building and maintaining real-time and historical market data platforms that underpin front-office decision making.
Responsibilities:
- Design, build, and maintain robust market data systems, with a focus on performance, scalability, and reliability.
- Design, develop, and maintain real-time and historical market data systems using C# / .NET.
- Build and optimise data ingestion, validation, transformation, and distribution pipelines.
- Ensure systems are resilient and capable of handling high-throughput data under peak load.
- Work closely with infrastructure teams to support scalable and reliable system architecture.
- Collaborate with quants, traders, and other technology teams to support the full data lifecycle.
- Implement monitoring, logging, and alerting to ensure system performance and stability.
- Contribute to performance tuning and optimisation of latency-sensitive systems.
Requirements:
- Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
- 1+ years’ experience in C# software development.
- Market data experience is highly desirable.
- Strong database experience, including SQL Server or other relational databases.
- Familiarity with messaging systems such as RabbitMQ or Kafka.
- Understanding of modern development practices, including version control (Git), CI/CD, and testing.
- Experience with containerisation and cloud platforms (Docker, Kubernetes, AWS) is beneficial.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication skills and ability to collaborate across teams.
Candidates with relevant experience are encouraged to apply to find out more.
C# Engineer - Market Data - Hedge Fund in Slough employer: Attribution Search
Attribution Search offers an exceptional work environment for C# Engineers in the heart of the financial district, where innovation meets collaboration. Employees benefit from a culture that prioritises professional growth, with access to cutting-edge technology and opportunities to work alongside industry experts in a dynamic hedge fund setting. The company fosters a supportive atmosphere that encourages creativity and problem-solving, making it an ideal place for those seeking meaningful and rewarding careers in market data technology.
StudySmarter Expert Advice🤫
We think this is how you could land C# Engineer - Market Data - Hedge Fund in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to hedge funds and market data. You never know who might have a lead on that perfect C# Engineer role!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your C# projects, especially those related to market data. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C# knowledge and market data concepts. Practice coding challenges and be ready to discuss your past projects. Confidence is key, so let your passion for technology shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace C# Engineer - Market Data - Hedge Fund in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your C# development experience and any market data projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background makes you a great fit for our Market Data Technology team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex problems in your previous roles. We love seeing how you approach challenges, especially in high-pressure environments like trading and risk functions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Attribution Search
✨Know Your C# Inside Out
Make sure you brush up on your C# skills before the interview. Be prepared to discuss your previous projects and how you've used C# to solve real-world problems. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand Market Data Systems
Since this role focuses on market data technology, it’s crucial to have a solid understanding of how market data systems work. Familiarise yourself with concepts like data ingestion, validation, and distribution pipelines, as well as the importance of performance and scalability in trading environments.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some problem-solving scenarios during the interview. Think about how you would approach high-throughput data challenges or system resilience issues. Sharing specific examples from your past experiences will help illustrate your capabilities.
✨Communicate Effectively
Strong communication skills are key in this role, especially when collaborating with quants and traders. Practice explaining complex technical concepts in simple terms, and be prepared to discuss how you’ve worked with cross-functional teams in the past.
