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# Quantitative Developer - Python

- **Company:** AAA Global
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Python (Programming Language), NumPy, SciPy, Web Application Frameworks, Pandas, Information Technology, Data Analytics, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815050015-quantitative-developer-python

## About the Role

* 5+ years' experience in Python and its scientific libraries (e.g. pandas, NumPy, SciPy).
 * Strong understanding of cloud infrastructure (AWS preferred; Azure/GCP also welcome).
 * Proven experience in system design and data modelling for scalable applications.
 * Solid grasp of relational databases and SQL optimisation.
 * Comfort with Unix/Linux environments and command-line workflows.
 * Exposure to quantitative finance or equity derivatives is a strong plus.
 * Self-driven, detail-oriented, and able to thrive in a fast-paced environment.

## Description

Our client, a leading global hedge fund, is seeking a Quantitative Developer (Python) to join their Risk Technology team. This role offers the opportunity to work at the intersection of portfolio management, risk management, and quantitative research, building high-impact, data-driven solutions that shape risk analytics for equity derivatives businesses.

What You'll Do

 * Partner with risk managers and portfolio teams to design and deliver risk analytics solutions for equity derivatives.
 * Build data ingestion pipelines and analytical tools to turn complex data into actionable insights.
 * Develop cloud-native, data-intensive applications leveraging AWS and modern Python frameworks.
 * Rapidly prototype and enhance risk metrics in close collaboration with stakeholders.
 * Contribute to system design, architecture, and data modeling.
 * Mentor junior developers and foster a culture of technical excellence and collaboration.

What We're Looking For

 * 5+ years' experience in Python and its scientific libraries (e.g. pandas, NumPy, SciPy).
 * Strong understanding of cloud infrastructure (AWS preferred; Azure/GCP also welcome).
 * Proven experience in system design and data modelling for scalable applications.
 * Solid grasp of relational databases and SQL optimisation.
 * Comfort with Unix/Linux environments and command-line workflows.
 * Exposure to quantitative finance or equity derivatives is a strong plus.
 * Self-driven, detail-oriented, and able to thrive in a fast-paced environment.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Engineering, and Finance


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