At a Glance
- Tasks: Join a dynamic team to build and maintain data infrastructure for high-frequency trading.
- Company: Work with a leading $4BN quant hedge fund known for innovation and growth.
- Benefits: Enjoy competitive salary, potential for remote work, and a vibrant tech culture.
- Other info: Ideal for tech-savvy individuals eager to thrive in a fast-paced environment.
- Why this job: Be part of a cutting-edge team impacting global markets with your coding skills.
- Qualifications: Strong experience in Python, ETL, SQL, and cloud technologies like AWS required.
Paragon are partnered with a $4BN AUM quant hedge fund, up 10% YTD they are scaling their tech teams to keep up with recent investment hires. Currently at circa 200 heads globally.
We have been mandated to find an elite Software/Data Engineer to work in their systematic data team supporting the HFT, Systematic Equities, Systematic Futures and Commodities desks. This team are working on the core research data platform, as well as data infrastructure, ingestion pipelines and back end services for the aforementioned trading desks.
Tech Stack: Python, ETL, Airflow, SQL, AWS
Please apply if this is of interest.
Quant Data Engineer - HFT - £200k+ in London employer: Paragon Alpha - Hedge Fund Talent Business
Paragon offers an exceptional work environment for Quant Data Engineers, providing a unique opportunity to be part of a high-performing team within a leading quant hedge fund. With a strong focus on innovation and technology, employees benefit from a collaborative culture that encourages professional growth and development, alongside competitive compensation packages. Located in a dynamic financial hub, the firm not only supports cutting-edge projects but also fosters a work-life balance that enhances overall job satisfaction.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Quant Data Engineer - HFT - £200k+ in London
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, ETL, Airflow, SQL, and AWS. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the quant finance and data engineering space. Attend relevant meetups or webinars to connect with people who work at hedge funds or in similar roles. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences with data infrastructure and ingestion pipelines. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in high-frequency trading and systematic strategies. Being knowledgeable about current market conditions and technological advancements will show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Quant Data Engineer - HFT - £200k+ in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities of a Quant Data Engineer in a high-frequency trading environment. Familiarise yourself with the tech stack mentioned, including Python, ETL, Airflow, SQL, and AWS.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in data engineering, particularly in relation to systematic trading and data infrastructure.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for quantitative finance and data engineering. Mention specific projects or experiences that demonstrate your ability to work with the technologies listed in the job description.
Proofread Your Application:Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in this field.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you're well-versed in Python, ETL processes, Airflow, SQL, and AWS. Be prepared to discuss your experience with these technologies and how you've used them in past projects.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading (HFT) and systematic trading strategies. Being able to speak knowledgeably about how data engineering supports these areas will impress your interviewers.
✨Showcase Problem-Solving Skills
Be ready to tackle technical problems during the interview. You might be asked to solve a coding challenge or discuss how you would approach a specific data engineering issue relevant to the role.
✨Prepare Questions
Have insightful questions ready about the team, their projects, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
