Commodities Data Analyst

9 hours ago

Camden, United Kingdom BrighterBox Full time

This startup is the alternative to traditional Price Reporting Agency commodity publishing. They combine leading technology with in-depth industry knowledge to produce high-quality and commercially attractive energy and commodity pricing data. Foundedin response to industry demands for more competition and fair access to key data, this is a well-funded startup backed by venture capitalists and founded by an experienced industry team.
With offices in London, Houston and Singapore and development resources in Krakow, they are continuing to scale and grow globally. Clients include some of the world's biggest commodity trading companies, IOCs and NOCs. They are built on technology, providinga high degree of automation to support rigorous, expert-led assessment methodologies. Market data is taken from a wide range of sources, which are then cleaned, validated, and normalised. This allows them to use pricing algorithms to produce consistent, high-qualityprice assessments efficiently and cost effectively.
They are looking for high-performing, enthusiastic and numerate new or recent graduates to join, learn and contribute to the 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.This startup is rapidly growing their coverage of traded markets. The data analyst will help to deliver and maintain assessment algorithms, working with the Data Director and other senior personnel.
?? About the role:
Our client 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
?? About you:

- Minimum: Bachelor's degree in a relevant field from a leading university
- 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
?? Benefits:

- Central London-based with opportunities to work from home
- £28,000 salary + bonus, with further options at the 6-month point

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