Quantitative Python Engineer

3 weeks ago


London, Greater London, United Kingdom McGregor Boyall Full time
Position Overview

Python, C++, Cryptocurrency Trading, Quantitative Finance, Cloud Computing, Distributed Systems

Our client, a prominent global hedge fund, adopts a technology-driven strategy in trading. The integration of computer science and quantitative finance has been fundamental to the organization’s ethos as they navigate the markets across various liquid assets.

Key Responsibilities:

  1. Act as a vital contributor to the Cryptocurrency trading desk, developing and refining the essential technology framework for systematic trading.
  2. Design and implement front-office systems for algorithmic trading, encompassing Portfolio Management Systems (PMS), risk assessment engines, reconciliation processes, and connectivity solutions.
  3. Collaborate with traders and quantitative analysts to deploy, maintain, and automate continuous trading strategies.

Required Qualifications:

2-6 years of experience as a Python Developer or Quantitative Analyst within a major investment bank, hedge fund, or asset management firm.

Experience in systematic trading is preferred.

Familiarity with DevOps practices, AWS, or Continuous Integration/Continuous Deployment (CICD) is advantageous.

Strong understanding of large-scale, intricate trading systems is essential.

Compensation and Benefits:

Competitive total compensation package of up to £325,000, which includes a guaranteed first-year bonus and sign-on incentives.

Relocation assistance available for international candidates.

Flexible remote work opportunities for several weeks each year.


McGregor Boyall is committed to fostering an inclusive workplace and does not discriminate on any grounds.



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