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Location

Bloomsbury Square, London, United Kingdom

Salary

£500 - £550 /day

Job Type

Contract

Date Posted

October 24th, 2025

View All Jobs

ETRM Data Modeler at N Consulting Ltd

Location

Bloomsbury Square, London, United Kingdom

Salary

£500 - £550 /day

Job Type

Contract

Date Posted

October 24th, 2025

Apply Now

View All Jobs

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Work mode: Hybrid, 3 days WFO
Contract duration: 12 Months
Location: London
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JOB DETAILS

Role Title:ETRM Data Modeler

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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