Country USA City HOUSTON Workplace location HOUSTON-LOUISIANA STREET(USA) Domain Information Systems Type of contract Regular position Experience Minimum 3 years Candidate Profile

You are someone who possesses the following experience and credentials:

You are university educated to at least master’s degree in a mathematical subject.You have a minimum of 5 years of experience in a position with a highly quantitative component, ideally gained while working on a trading floor.Strong coding skills in Python (OOP) with proficiency in common libraries for data scienceGood knowledge of database technologies (SQL Server, MongoDB)Proficiency in machine learning and linear optimization techniquesAbility to write transferrable code that adheres to best practices.Experience working with data architectures.Experience with Cloud environments, AWS in particularIdeally you have an understanding of US electricity markets (ERCOT, PJM, CAISO strongly preferred) and have acquired experience in the field by working with power data and at modelling and forecasting power dynamics and prices. An equivalent experience in other financial fields is also relevant for the position. The position requires autonomy, objectivity, innovation, to be resourceful and well organised as well as ability to work in a fast-paced, deadline driven environment.You should be able to explain complex issues and present them in a clear and neat manner. Fluent in English - knowledge of French is advantageous.Additional and advantageous requirements: Experience working with transactions data.

*TotalEnergies regrets that it is unable to sponsor employment Visas or consider individuals on time-limited visa status for this position.

Activities

In this position, you will work primarily with the US Power trading desks but you will get exposure and will help on subjects related to all the commodities traded by TGP (including worldwide gas, LNG, electricity, emissions, dry products). The main job responsibilities will include:

Contribute to our in-house suite of short and mid-term power price forecasting models (fundamental/stack optimization, machine learning).Develop analytics and impactful visualization around these models to drive trading idea generation.Mine data and build data pipelines feeding into the models.Contribute to the development and maintenance of statistical and quantitative models.Develop scripts to enable automation and process optimization.Work with Power trading desks and other stakeholders throughout the organization to identify, prioritise and structure complex and unique problems where advanced analytics projects or tools can have the biggest impact.Lead projects with hands-on analysis and modelling to choose the right tool and right level of complexity to reach business objectives.Ensure technology and methodology watch. Conduct extensive investigation to conceive new methods, procedures, and policies.Collaborate with IT and data engineering teams to productionize models.

DIMENSION

The Quantitative and Trading Analysis (Q&TA) team aims at providing a better understanding of the markets traded by TotalEnergies Gas and Power North America (TGPNA) in terms of prices and fundamentals, finding ways to model and forecast their dynamics and dealing with complex issues requiring a quantitative approach (pricing, hedging and simulations of complex products, transactions or assets). The Q&TA team is formed of market fundamentals experts, data scientists, meteorologists and quantitative researchers.

In a context of great autonomy, the Q&TA team contributes interpretation, advisory and support to all TGP trading desks and to senior management - including COMEX members.

You will influence the global TGP trading performance and work with trading desks and other stakeholders throughout the organization to identify opportunities for leveraging data in order to help traders take positions on the markets and more broadly the Company to catch new business opportunities. This requires in-depth analysis of complex and unique problems as well as creative and strategic thinking. Context & Environment

PURPOSES

Enhance TGP ability to leverage data in order to model and optimise power assets/portfolios/strategies and help generate additional value for the Company by driving the right trading decisions.

Reply promptly and reactively to business needs and requests from traders (predominantly power) and management.

Supply guidelines and support to the teams on any topics involving analysis and modelling of large data sets.