Data Scientist - Commodities Trading Pod - Multi-Manager Fund - £350k

ZipRecruiter; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A tier one hedge fund is seeking a Data Scientist with expertise in commodities and systematic trading. This role involves building models and data infrastructure, providing excellent exposure to trading strategies. Join a multi-manager team in a flat structure where you will interact closely with portfolio managers and traders.

Qualifications

• Strong knowledge in commodities (Power/Energy/Gas) required.
• Experience in systematic trading development and data analysis.
• Proficiency in using Python, SQL, and AWS.

Responsibilities

• Build models and data infrastructure for the trading team.
• Analyze datasets including time series and market data.
• Collaborate with PMs and traders to develop bespoke software systems.

Skills

Knowledge of commodities

Systematic trading development

Data analysis

Time series analysis

Market data analysis

Tools

Python

Pandas

SQL

AWS

Job description

Job Description

I'm working with a multi-manager hedge fund, who have a successful commodities strategy here in Europe. One of their largest PM teams who focuses on European Gas, is looking to hire a Data Scientist to help build models and data infra.

They need someone with excellent knowledge across commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data).

Stack: Python, Pandas, SQL, AWS

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

If you're looking to join a tier one hedge fund, and gain excellent exposure to systematic trading, then please do apply.