Quantitative Engineer - Commodities - Quant Trading

Paragon Alpha - Hedge Fund Talent Business; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

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.

Responsabilités

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

Connaissances

Cross-functional collaboration

Problem solving

Outils

Python

AWS

Airflow

Description du poste

I'm working with a multi-manager hedge fund, who have multiple successful commodities strategies here in Europe. One of their teams who focuses on European Gas/Power, are looking a Quantitative Engineer in London to build data tools, models and infrastructure for PM teams.

They need someone with exposure to commodities (Power/Energy/Gas), who is technically well versed in building cloud based and data heavy applications for quants and investment teams.

Stack: Python, AWS, Airflow

The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke.