Quantitative Engineer – Commodities Data Tools (Python/AWS)

Paragon Alpha - Hedge Fund Talent Business; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Paragon Alpha - Hedge Fund Talent Business in London is looking for a Quantitative Engineer to build data tools, models and infrastructure for PM teams. You will work on cloud-based, data-heavy applications and interfaces with PMs and traders to tailor software solutions for trading strategies.

The ideal candidate has exposure to commodities (Power, Energy, Gas) and is technically fluent in Python, AWS and Airflow, enabling rapid prototyping and production-grade systems within a flat,

Qualifications

• Experience building data tools for quant teams.
• Strong Python/AWS experience for data-heavy apps.
• Knowledge of commodities exposure a plus.

Responsibilities

• Build data tools and infrastructure for PM teams.
• Develop models and pipelines for quants.
• Collaborate with traders to tailor software.

Skills

Cross-functional collaboration

Problem solving

Tools

Python

AWS

Airflow

Job description

Paragon Alpha - Hedge Fund Talent Business in London is looking for a Quantitative Engineer to build data tools, models and infrastructure for PM teams. You will work on cloud-based, data-heavy applications and interfaces with PMs and traders to tailor software solutions for trading strategies.

The ideal candidate has exposure to commodities (Power, Energy, Gas) and is technically fluent in Python, AWS and Airflow, enabling rapid prototyping and production-grade systems within a flat,