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FM&I Modeling Analyst

Job in City Of London, Central London, Greater London, England, UK
Listing for: HCLTech
Full Time position
Listed on 2026-03-11
Job specializations:
  • Business
    Data Scientist, Data Analyst
Job Description & How to Apply Below
Location: City Of London

Job Description

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, stats model)
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