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- Tasks: Join a dynamic team to develop and optimise data solutions for high-frequency trading.
- Company: Elite systematic hedge fund with a focus on innovation and technology.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on cutting-edge technology and career advancement.
- Why this job: Make a direct impact on trading strategies and enhance your skills in a fast-paced environment.
- Qualifications: Strong software engineering skills and experience in data engineering.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a systematic hedge fund focused on HFT and statarb equities. We have been mandated to find an elite Software/Data Engineer to take a senior role in their systematic data team supporting the HFT, Systematic Equities, Systematic Futures and Commodities desks.
You would own relationships with these desks and be a key voice in iterating solutions that have direct PnL impact. This team is working on the core research data platform, as well as data infrastructure, ingestion pipelines and back end services for the aforementioned trading desks.
Front Office Data Engineer | Quant Trading employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Data Engineer | Quant Trading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in systematic hedge funds or quant trading. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data engineering and quant trading. This will give potential employers a taste of what you can bring to their systematic data team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data infrastructure. Practice common questions and scenarios that relate to HFT and systematic trading to impress the hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by recruiters who are looking for top talent like you.
We think you need these skills to ace Front Office Data Engineer | Quant Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Front Office Data Engineer. Highlight your experience with data engineering, especially in high-frequency trading and systematic strategies. We want to see how your skills align with the needs of our client!
Showcase Relevant Projects: Include any relevant projects or experiences that demonstrate your ability to work with data infrastructure and ingestion pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to the systematic data team. We want to hear your voice and what makes you a great fit for this position.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Data Inside Out
Make sure you’re well-versed in the data structures and algorithms relevant to high-frequency trading. Brush up on your knowledge of data ingestion pipelines and back-end services, as these will likely come up during the interview.
✨Understand the Trading Landscape
Familiarise yourself with systematic equities, futures, and commodities trading. Being able to discuss how your role as a Data Engineer can directly impact PnL will show that you understand the business side of things.
✨Prepare for Technical Questions
Expect to face some challenging technical questions. Practice coding problems related to data engineering and be ready to explain your thought process clearly. We recommend using platforms like LeetCode or HackerRank for practice.
✨Showcase Your Communication Skills
Since you'll be owning relationships with various trading desks, it’s crucial to demonstrate your ability to communicate complex technical concepts in a simple way. Prepare examples of past experiences where you successfully collaborated with non-technical teams.