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Quantitative Trader

  • JOB CODE: J15686
  • JOB TYPE: Permanent
  • SALARY/RATE: £100,000 - £150,000 per annum
  • LOCATION: London
  • BENEFITS: Bonus

Can you imagine yourself in the heart of London's thriving financial district, building systematic trading strategies, executing trades and managing currency hedges?

Turn that into a reality, and become a Quantitative Trader for a boutique trading firm.

This role is what it says on the tin.

As Quantitative Trader, you will focus on algorithm trading, developing Machine Learning algorithms to assist in global trading on the stock exchange.

This is a senior role where extensive skill and leadership qualities will be rewarded with a salary of £100,000 plus, depending on experience.

Using your experience in applied machine learning (i.e. decision trees and regression analysis) you will develop and implement algorithms across a broad e-trading platform.

You will get stuck in from the get go, conducting quantitative research on client flow management and hedging strategies along with client flow analysis, data analysis on tick data and flash data (high-frequency data).

Assist in the enhancement of trading efforts with portfolio construction research and model development, and work directly with other senior researchers and traders.

What more can you bring to the table?

  • You will be strategic, academic with a solid chunk of work experience as a quantitative strategist or trader, and experience with Computer Vision is a bonus
  • Strong programming knowledge of one or more of; Python, KDB/Q, C++, Scripting
  • Advanced degree in Mathematics, Finance, Engineering, or Computer Science.

Looking to take your quantitative trading career to the new heights? Apply now!

Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job

Call 0208 944 4197 or Email johns@eligo.co.uk

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