At a Glance
- Tasks: Build core analytics and data pipelines for front-office investment decisions.
- Company: Join Paragon Alpha, a leading hedge fund talent business in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with portfolio managers and quantitative researchers in a high-impact team.
- Why this job: Shape a modern trading platform and see how data drives trading strategies.
- Qualifications: Experience in data engineering and a passion for finance and technology.
The predicted salary is between 59400 - 72600 £ per year.
Paragon Alpha — Hedge Fund Talent Business in London is seeking a data engineer to join a high-impact trading tech team. You'll build core analytics and data pipelines that support front-office investment decisions across multiple asset classes, working alongside portfolio managers and quantitative researchers.
You'll own end-to-end projects—from architecture through production—shaping a modern trading platform and gaining visibility into how data infrastructure drives trading strategies and risk.
Front Office Data Engineer: Own End-to-End Trading Infra employer: Paragon Alpha - Hedge Fund Talent Business
As a leading Tier 1 Hedge Fund, we pride ourselves on fostering a dynamic and collaborative work environment in the heart of London. Our culture encourages innovation and independent thinking, providing employees with unparalleled opportunities for professional growth and development while working alongside top-tier investment professionals. Join us to make a meaningful impact in the fast-paced world of Emerging Markets, where your expertise will be valued and rewarded.
Contact Details:
Paragon Alpha - Hedge Fund Talent Business Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Front Office Data Engineer: Own End-to-End Trading Infra
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We think you need these skills to ace Front Office Data Engineer: Own End-to-End Trading Infra
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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