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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, potential for remote work, and a vibrant tech culture.
- Why this job: Work on cutting-edge technology in a fast-paced environment that values innovation and impact.
- Qualifications: Proficiency in Python, ETL, Airflow, SQL, and AWS is essential.
- Other info: Ideal for those passionate about finance and technology in a collaborative setting.
The predicted salary is between 108000 - 168000 £ per year.
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 - HFT - £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 - HFT - £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 hedge fund sectors. Attend relevant meetups or webinars to connect with individuals who work in similar roles, as they may provide insights or even referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your previous experiences with data engineering and software development in a high-frequency trading context. Be ready to explain how you've tackled challenges related to data ingestion and infrastructure, as this will demonstrate your suitability for the role.
✨Tip Number 4
Stay updated on industry trends and advancements in quantitative trading and data engineering. Being knowledgeable about recent developments can help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Data/Software Engineer - HFT - £200k+
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data/Software Engineer in a high-frequency trading environment. Familiarise yourself with the tech stack mentioned, including Python, ETL, Airflow, SQL, and AWS.
Tailor Your CV: Highlight your relevant experience in software and data engineering, particularly in high-frequency trading or similar environments. Emphasise your skills in the technologies listed in the job description to catch their attention.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and technology. Mention specific projects or experiences that demonstrate your expertise in building data infrastructure and working with ingestion pipelines.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in the tech industry.
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 Business
Familiarise yourself with the workings of a quant hedge fund, especially in relation to HFT and systematic trading. Showing that you understand the business model can set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions or coding challenges during the interview. Brush up on algorithms, data structures, and system design principles relevant to data engineering.
✨Showcase Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Highlighting your problem-solving abilities will demonstrate your value to the team.
