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Location

London, United Kingdom

Salary

£400 - £450 /day

Job Type

Contract

Date Posted

November 19th, 2025

View All Jobs

ETRM Data Modeler at N Consulting Ltd

Location

London, United Kingdom

Salary

£400 - £450 /day

Job Type

Contract

Date Posted

November 19th, 2025

Apply Now

View All Jobs

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JOB DETAILS

Role Title: ETRM Data Modeler
Work mode: Hybrid, 3 days WFO
Contract duration: 12 Months
Location: London


Key Accountabilities:
•Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading
organization.
•Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions.
•Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques.
•Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight.
•Identify repetitive processes that can be standardized into modules that can be reused across projects.

Essential Experience
•Undergraduate degree in STEM subject or quantitative discipline.
•Knowledge of European energy markets (e.g. gas, LNG, or power).
•Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
•Track record of working with traders or other business stakeholders to create commercially actionable models.
•Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning.
•Excellent problem-solving skills.
•Experience using a coding language to develop models and analytical tools.
•Experience manipulating and analyzing large, complex datasets.

Desirable Experience & Skills
•Practical knowledge of data engineering practices (designing and building robust data pipelines)
•Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)

 

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