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- Tasks: Join a dynamic team to develop and maintain data platforms for high-frequency trading.
- Company: Be part of a leading $4BN quant hedge fund with a strong growth trajectory.
- Benefits: Enjoy competitive salary, cutting-edge technology, and a collaborative work environment.
- Why this job: Work on impactful projects in a fast-paced culture that values innovation and excellence.
- Qualifications: Proficiency in Python, ETL, Airflow, SQL, and AWS is essential.
- Other info: Ideal for tech-savvy individuals eager to make a mark in finance.
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.
Data/Software Engineer - Systematic Trading - £200k+ 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 Data/Software Engineer - Systematic Trading - £200k+
✨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 quantitative finance and systematic trading space. Attend relevant meetups or webinars to connect with people who work at hedge funds or in similar roles, as they can provide valuable insights and potentially refer you to opportunities.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in detail, especially those related to data engineering and systematic trading. Be ready to explain how your contributions improved processes or outcomes, as this will demonstrate your value to the team.
✨Tip Number 4
Stay updated on industry trends and developments in systematic trading and data engineering. Being knowledgeable about current market conditions and technological advancements will help you engage in meaningful conversations during interviews.
We think you need these skills to ace Data/Software Engineer - Systematic Trading - £200k+
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific requirements of the Data/Software Engineer position. Highlight your experience with Python, ETL, Airflow, SQL, and AWS in your application.
Tailor Your CV: Customise your CV to reflect relevant skills and experiences that align with the job description. Emphasise your work with data infrastructure, ingestion pipelines, and back-end services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for systematic trading and quant finance. Mention any previous experience in high-frequency trading or working with quantitative teams.
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 have a solid understanding of 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.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design problems relevant to systematic trading to showcase your analytical skills.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading, systematic equities, and commodities. Showing knowledge about how data impacts trading decisions can set you apart from other candidates.
✨Prepare Questions for Them
Have insightful questions ready about the team dynamics, current projects, and future goals of the tech team. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
