FM&I (Fundamentals, Markets & Insights) Modeling Analyst

Job Title : FM&I (Fundamentals, Markets & Insights) Modeling Analyst

Location : Houston TX (Hybrid ( 3 Days from bp Office and 2 days from Home))

Duration : 12+ Months

Note: Candidate should be local to Houston TX and ready to come to office for Face to Face Interview.

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, statsmodel)