that generate valuable commercial insights for the trading organization.
Demonstrate
excellent communication skills
, effectively conveying analytical findings to stakeholders and influencing commercial decisions.
Develop and implement
fundamental balance models, pricing models, and analytical tools to identify commercial opportunities across
low-carbon, power, gas, and oil markets
, utilizing advanced modelling techniques and best practices.
Collaborate closely with stakeholders
(traders, analysts, and other teams) to ensure models and solutions deliver optimal performance and meaningful business insights.
Streamline repetitive processes
by developing standardized, reusable modules that enhance efficiency across multiple projects.
Essential Experience & Qualifications:
Undergraduate degree
in a
STEM or quantitative discipline
(e.g., Mathematics, Statistics, Engineering, Computer Science, or related field).
Strong understanding of
European energy markets
(gas, LNG, or power).
Solid grasp of
supply and demand fundamentals
, and knowledge of how
physical and financial instruments
are traded.
Proven track record of
collaborating with traders and business stakeholders
to develop
commercially actionable models
.
Experience applying a range of
modelling techniques
, including
regression analysis, time series forecasting, and machine learning
.
Excellent
problem-solving and analytical skills
.
Proficiency in at least one
programming language
(e.g., Python, R, or similar) for developing models and analytical tools.
Hands-on experience
manipulating and analyzing large, complex datasets
to extract meaningful insights.
Job Type: Fixed term contract
Contract length: 6 months
Pay: 500.00-520.00 per day
Benefits:
Work from home
Experience:
Oil and Gas Sector: 3 years (required)
Track record of working with traders: 5 years (required)
Data modelling techniques : 5 years (required)
* ETRM: 3 years (required)
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