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Data Engineer - Trading Systems - Quant Fund

Vertus Partners

Greater London

On-site

GBP 70,000 - 90,000

Full time

3 days ago
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Job summary

A leading Quant Fund is expanding its Systematic Trading platform, seeking a Quant/Algo/eTrading Specialist. The role involves building a high-performance data framework for trading, collaborating with Quants and Traders, and utilizing modern technologies like Python and cloud tools.

Qualifications

  • Experience in a Quantitative Trading environment.
  • Collaborating with Quants and Traders.

Responsibilities

  • Build Front Office Data framework for Systematic Trading.
  • Develop modeling platform using modern technologies.
  • Optimize performance of the data lake.

Skills

Python
Cloud Infrastructure

Job description

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This range is provided by Vertus Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Quant/Algo/eTrading Specialist @ Vertus Partners - Connecting top talent with the world’s leading Investment banks, Fintech, Quant and Systematic firms

A leading Quant Fund is looking to expand their Systematic Trading platform, focusing on the data platform used by Quants and Researchers for data modeling.

You'll specifically build out their Front Office Data framework, emphasizing high-performance architecture to support Systematic Trading.

Within this role, you'll be:

  1. Taking requirements directly from Quants and Traders.
  2. Utilizing modern technologies to develop a modeling platform.
  3. Building data pipelines using Python and cloud-based tools.
  4. Optimizing the performance of the data lake.
  5. Designing the core data infrastructure of the Trading environment.

They are seeking candidates who:

  1. Have previous experience in a Quantitative Trading environment.
  2. Have a proven track record of collaborating with Quants and Traders to deliver platforms.
  3. Have experience working with cloud infrastructure.

If interested, please apply through this advert.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Investment Management
  • IT Services and Consulting
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