Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop data pipelines for a cutting-edge hedge fund.
- Company: A thriving boutique hedge fund expanding into London after record-breaking success.
- Benefits: Enjoy a competitive salary, generous benefits, and opportunities for international travel.
- Why this job: Be part of a start-up culture with huge growth potential in a supportive environment.
- Qualifications: 3-8 years of experience in .Net development and a degree in a STEM subject.
- Other info: This is a unique chance to shape the role and make a significant impact.
The predicted salary is between 104000 - 116000 £ per year.
Client summary: Our client is a small but established hedge fund in Geneva, now looking to expand with a new London office following three back-to-back record-breaking years. A systematic FX fund, they have the ethos of a start-up, and have recently moved into Futures, with an eye to becoming multi-asset in the future. Their CTO is now building out a small tech team in London as they continue to go from strength to strength.
Role: Working closely with the CTO, you'll help establish their London operations as one of the first UK hires, and the first data engineer. All of their systems are built in the latest F# .Net technology, with low-latency code underpinning their trading and execution platforms. In this role, your main focus will be the development of new pipelines to extract, transform and load financial data from disparate sources. Mostly greenfield work, you'll build out the company's data collection platform to incorporate new sources and markets, and validate the quality of imported data.
Requirements:
- Experience working with large datasets
- Strong .Net development experience, and an interest in F# would be great
- Computer Science degree (or other STEM subject) from a top-tier university
- Good understanding of algorithmic complexity and data structures
- Experience in financial markets is required
Nice to haves:
- Experience with vendor data providers e.g. Bloomberg, Reuters, CME, etc.
- Previous exposure to gRPC, SQL, InfluxDB and high volume tick data a plus.
Benefits and Incentives: Competitive salary + generous benefits package, including regular trips abroad. Huge potential for growth and increased responsibility. Supportive and friendly working environment in beautiful central London office. Brand new role that you can make your own.
Contact: If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch.
C# / F# .Net Data Engineer- Boutique Hedge Fund (new LDN office) employer: Quality Control Specialist - Pest Control
Contact Detail:
Quality Control Specialist - Pest Control Recruiting Team
richard.allan@oxfordknight.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land C# / F# .Net Data Engineer- Boutique Hedge Fund (new LDN office)
✨Tip Number 1
Network with professionals in the hedge fund and finance sectors. Attend industry meetups or webinars to connect with people who might have insights into the company or role. This can help you get a foot in the door and potentially a referral.
✨Tip Number 2
Familiarise yourself with the latest trends in data engineering, particularly in financial markets. Being able to discuss current technologies and methodologies during an interview will demonstrate your passion and knowledge for the field.
✨Tip Number 3
Showcase your experience with large datasets and .Net development through personal projects or contributions to open-source projects. This practical experience can set you apart from other candidates and provide concrete examples to discuss in interviews.
✨Tip Number 4
Research the company’s recent achievements and future goals. Understanding their ethos and how they plan to expand into multi-asset trading will allow you to tailor your discussions and show that you’re genuinely interested in contributing to their success.
We think you need these skills to ace C# / F# .Net Data Engineer- Boutique Hedge Fund (new LDN office)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with .Net development and any exposure to F#. Emphasise your work with large datasets and any relevant projects in financial markets.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in developing data pipelines and working with low-latency code.
Showcase Relevant Skills: Include specific examples of your experience with SQL, gRPC, and any vendor data providers like Bloomberg or Reuters. This will demonstrate your technical proficiency and understanding of the financial sector.
Highlight Educational Background: If you have a degree in Computer Science or a related STEM field from a top-tier university, make sure to mention it prominently. This is a key requirement for the position.
How to prepare for a job interview at Quality Control Specialist - Pest Control
✨Showcase Your Technical Skills
Make sure to highlight your experience with .Net and any exposure to F#. Be prepared to discuss specific projects where you've worked with large datasets and how you approached challenges related to algorithmic complexity.
✨Understand the Financial Markets
Since this role is within a hedge fund, having a solid understanding of financial markets is crucial. Brush up on your knowledge of FX and Futures trading, and be ready to discuss how data engineering plays a role in these areas.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges that involve data structures and algorithms, as well as scenarios where you might need to extract, transform, and load data efficiently.
✨Demonstrate Your Team Spirit
As one of the first hires in the new London office, showing that you can work collaboratively with the CTO and other team members is essential. Share examples of how you've contributed to team projects and fostered a positive working environment.
