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Data Engineering Tech Lead- Leading Quant-Driven Market-Maker

Out in Science, Technology, Engineering, and Mathematics
London
6 days ago
Applications closed

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Summary

Fantastic opportunity for an experienced engineer to lead a brand-new data engineering team at this tech-savvy algorithmic trading firm. A very hands-on tech lead, you'll be building a new system for processing and managing daily data that is used company-wide (including corporate actions, fundamentals, and index membership data).

Your focus will be collating the data most critical to the business, now and in the future, to ensure there is a singular, clean, easy-to-access & well-integrated data repository. As the owner of the firm's daily data, you will be expected to anticipate the business's needs so that the normalised data schema is minimal yet sufficient.

This firm uses Go for much of their software - prior Go experience is not necessary (but you must be be willing to learn and integrate with the existing software stack as necessary).

Requirements

  • Several years of experience working with financial data; knowledge of the subtleties of corporate actions will be crucial
  • Strong and confident programmer in Java, C++, Go, or other statically typed language.
  • Solid understanding of data analysis and statistics required to ensure sufficiently clean data, and some knowledge of statistics/basic ML would be highly beneficial


NB: Please don't apply if you are a fresh graduate.

Benefits

  • Generous compensation package - you are making a direct impact on the PnL
  • Flat hierarchy, focus on teamwork, where people are rewarded on merit and excellence
  • Outstanding benefits, including onsite gym/sauna/fitness classes, extensive medical cover, and excellent professional development opportunities
  • Autonomy to work in the manner and using the software & hardware that you see fit



Contact
If this sounds like you or you'd like to know more, please get in touch:

Andy Stirling-Martin


linkedin.com/in/andrew-stirling-martin-7664a946


#J-18808-Ljbffr

National AI Awards 2025

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