Python Quant Engineer: Build Research-to-Trading Tools

Ncounter Limited

Greater London

On-site

GBP 200,000 - 250,000

Full time

3 days ago
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Job summary

Ncounter Limited in London is seeking an experienced Quant Developer to join a high‑performing research and trading tech team. You will design and build scalable Python applications that underwrite research, analytics and live trading, working closely with Quant Researchers.

You'll own software from design to deployment, optimize for speed and reliability, and contribute to CI/CD pipelines, data processing and storage solutions.

Qualifications

  • Strong commercial Python development experience (4+ years).
  • Degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance or similar.
  • Experience designing robust, scalable software.
  • Understanding of data processing, storage and analysis.
  • Experience with modern software engineering practices including Git and Agile.
  • Excellent communication skills with technical stakeholders.

Responsibilities

  • Partner with Quant Researchers to build software supporting research and trading.
  • Develop scalable Python applications and workflows.
  • Design high-performance solutions for processing and analyzing large datasets.
  • Collaborate with engineering teams to build reusable software components.
  • Take ownership from design through deployment and improvement.
  • Support business-critical systems in a modern engineering environment.

Skills

Python development
Large‑scale data processing
Software design
Communication with stakeholders

Education

Bachelor's degree in CS/Math/Physics/Engineering/Quantitative Finance

Tools

Git
CI/CD
Agile

Job description

Ncounter Limited in London is seeking an experienced Quant Developer to join a high‑performing research and trading tech team. You will design and build scalable Python applications that underwrite research, analytics and live trading, working closely with Quant Researchers.

You'll own software from design to deployment, optimize for speed and reliability, and contribute to CI/CD pipelines, data processing and storage solutions.

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