- Work with a dynamic team of GHG estimation experts to advance GHG emissions estimation across Commodity Insights businesses and products
- Work, learn, and contribute to entirely new understandings of commodity related emissions on top of some of the world s largest and most comprehensive data sets that span across sectors and through value chains.
- Collaborate with various sectoral experts to develop tools to better understand where, why, and how emissions occur and what can be done about them.
- Help advance global understanding of commodity related emissions and decarbonization pathways.
Responsibilities:
- Work as part of team of emission technical experts who are charged with supporting the build-out of emission estimation and quantification capabilities across Commodity Insights businesses
- Provide thought leadership and engage in conversations around best practices on emission estimation and quantification.
- Contribute to written reports, detail estimates, act as a focal point on emission accounting practices, and provide direction on future research areas.
- Research topics will encompass broad aspects of processes, industry, commodities, and products across the energy value chain.
- Develop relationships with internal and external stakeholders to communicate findings, collaborate on key initiatives, and facilitate the development of project/initiative deliverables.
What We re Looking For:
- GHG estimation and life-cycle carbon accounting knowledge/work experience is required. Demonstrated understanding of life-cycle GHG accounting practices as well as understanding of potential GHG emission sources from various commodity sectors.
- Deep knowledge and understanding of GHG emissions associated with petrochemical and refined oil products.
- GHG emissions modeling experience of refineries and petrochemical complexes including understanding of energy allocations between different process units and interactions between process units.
- Broad understanding of different energy supply chains and commodities such as upstream and midstream oil and gas, hydrogen, biofuels, metals and mining etc.
- Proficient with large datasets with strong skills in Microsoft Excel, databases and various cloud-based platforms.
- Experience with ASPEN process modeling software considered a plus
- Experience with Python coding - ability to read and write code considered a plus
- Demonstrated ability to work effectively in a team-oriented environment and navigate and excel in a complex, matrix organization. This person should be able to collaborate well with people externally and internally.
- Highly effective verbal and written communication skills and excellent interpersonal skills to communicate with key people including senior and executive level clients.
- Strong attention to detail and efficient time management skills.
- Graduate degree in engineering, science, environmental science, or industry-related fields preferred.
Employment Type: Full Time, Permanent
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