Data Analyst

Job description

Role: Data Analyst

About The Company

General Index is the alternative to traditional Price Reporting Agency commodity publishing. We combine leading technology with in-depth industry knowledge to produce high-quality and commercially attractive energy and commodity pricing data.

Founded in response to industry demands for more competition and fair access to key data, General Index is a well-funded start-up backed by venture capitalists and founded by an experienced industry team.

With offices in London, Houston and Singapore and development resources in Krakow, we are continuing to scale and grow globally.

Our clients include some of the world’s biggest commodity trading companies, IOCs and NOCs.

GX is built on technology, providing a high degree of automation to support our rigorous, expert-led assessment methodologies. We take market data from a wide range of sources, which we clean, validate, and normalise. This allows us to use our pricing algorithms to produce consistent, high-quality price assessments efficiently and cost effectively.

We are looking for high-performing, enthusiastic and numerate new or recent graduates to join us to learn and contribute to our business as it grows – and take on early responsibility as part of a team where everyone rolls up their sleeves to get the job done.

GX is rapidly growing our coverage of traded markets. The data analyst will help to deliver and maintain assessment algorithms, working with the Data Director and other senior GX personnel.

About The Role

GX is seeking a full-time data analyst to join the data and technology group, reporting to the Data Director.

The analyst will -

Learn the basics of commodity trading and the price assessment process

Work with the technical and pricing teams to develop the assessment algorithms that underpin new and existing price benchmarks

Build new tools and processes to support the business as it grows

Provide operational support for daily assessment processes

Build and support processes to clean and normalise market data from our market sources

Typical daily activities will include:

Working with the Pricing team to capture requirements and implement price assessment algorithms

Configuring pipelines within our core system to implement assessment processes

Developing Python scripts to transform new trade and pricing data sources into our internal, normalised format

Working with the Pricing team to support the daily assessment processes

Skills And Experience

Minimum Bachelor’s degree in a relevant field High level of numerical ability

Accuracy and attention to detail

Experience programming in Python

Highly proficient working with Excel, including VBA preferred

Teamworking skills

An interest in oil/energy markets

Working hours

Central London-based with opportunities to work from home

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