Python Quant Developer – Equity Derivatives Research

Oxford Knight; London; On-site; GBP 100,000 - 150,000; Full time

Job summary

A leading hedge fund is seeking a Python Quant Developer for their London office, offering a strong salary and bonus package. The role involves developing systems for portfolio analytics and visualizations, requiring 3+ years of Python experience, particularly with Pandas and Numpy. Work-from-home opportunities and a collaborative culture enhance this exciting position.

Benefits

Strong salary + bonuses

Work-from-home opportunities

Collaborative culture

Qualifications

• Minimum 3+ years of commercial development experience in Python.
• Understanding of SDLC and familiarity with Linux, Github, CI/CD.

Responsibilities

• Develop systems, portfolio analytics, and visualizations for PMs and Quant Strategists.
• Create data pipelines while understanding business needs.

Skills

Python

Pandas

Numpy

Web-based Python frameworks

Data pipeline engineering

Job description

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Python Quant Developer – Equity Derivatives Research, London

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Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

68827e09c535

Job Views:

5

Posted:

02.06.2025

Expiry Date:

17.07.2025

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Job Description:

Salary: up to £100k base + ~£30k bonus

Fantastic chance for a Python Developer with good knowledge of Pandas/Numpy to join one of the world’s most prestigious hedge funds.

Joining a talented team of other QDs and software engineers,you’ll be developing systems, portfolio analytics and visualisations for the PMs and Quant Strategists. The work will be a mix of software development, web app development creating data-pipelines whilst facing off to the business and understanding business needs.

The successful candidate will likely come from afinancial firm and be able to communicate well with Quants / PMs / traders whilst also being a strong enough technologist to implement ideas.

Skills and Experience Required

• Minimum 3+ years of commercialdevelopmentexperiencein Python
• Solid Python skills (especially Pandas/Numpy) and proficiency with web-based Python frameworks, e.g. Flask, Dash, Ag-grid
• Understanding of SDLC and familiarity with Linux, Github, CI/CD
• Exposure to risk models & performance attribution
• Experience with data pipeline engineering, ETL for large datasets, and tools such as Airflow

Benefits & Incentives

• Strong salary + bonuses
• Work-from-home opportunities
• Collaborative culture and an exciting place to work