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Research Data Engineer | London, NYC, Singapore- Innovative Algo Trading

salary Salary :

$250,000 - 250,000 yearly

Job Description - Research Data Engineer | London, NYC, Singapore- Innovative Algo Trading

Salary: up to £250k base + bonus

Fantastic opportunity at one of the world's top algorithmic trading firms. A community of self-starters from multiple tech backgrounds - maths, computer science, statistics, physics, engineering - they have built one of the world's most sophisticated computing environments for research and development with data at the core of all trading strategies.

As a Research Data Engineer, your main focus will be managing the end-to-end data pipeline - from onboarding raw vendor data, through validating & normalizing, to refined feature sets for alpha research - alongside ensuring high quality service via rigorous data checks and alerts. You'll work directly with researchers to build datasets that add value to trading strategies, as well as being the subject-matter expert in the datasets you onboard.

This role would suit a strong problem-solver who enjoys collaborating with others in a fast-paced and energetic environment.

Skills and Experience Required
  • Strong Python programming skills
  • Proficiency in data science methodologies
  • Fluency in data analysis and statistics
  • Demonstrated interest in finance
  • Exceptional attention to detail
  • Undergraduate degree in a STEM field

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

Rewards and Incentives
  • Market-leading salary + bonuses + generous benefits package
  • Truly flat management structure, with no red tape or information siloes
  • Friendly culture where everyone's ideas are encouraged and celebrated
  • Feel valued and be rewarded for your hard work where coding is front and centre


Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

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

Andy Stirling-Martin
[email protected]
+44 (0)20 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

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