Senior Research Gas Specialist - North America
LSEG is hiring a Senior Research Gas Specialist - North America in Houston, United States. Level rates it ; you can apply on LSEG.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- LSEG has 674 other open roles on Level.
- Posted in the last few days.
AI in this role
LSEG Commodities Research is a global team of 100+ analysts proud to deliver insights for the commodities physical and futures markets. Combining deep domain expertise, vast data resources, and the LSEG's workspace platform, analysts are trusted partners of commodities professionals worldwide.
We are looking for a Quantitative Research Specialist to join our North American Natural Gas team.
WHY IS THIS JOB IMPORTANT
The role of the team is to deliver data-driven analysis and reports as our customers worldwide rely on our expertise to make their trading and investment decisions. The team develops proprietary fundamental and price forecasting models and produces the forward looking view of supply, demand, and prices. The team also offers in-depth view and explanation of our forecasted data in the thought leadership reports. Our customers span over the Natural Gas and LNG producers, importers, distribution companies, trading houses, and financial and governmental institutions.
Preferred candidates must demonstrate strong technical, analytical and interpersonal skills and have experience in the NA gas sector.
SOME OF THE DAILY TASKS YOU WILL PERFORM:
- Supporting projects, using technical understanding to help remove obstacles and to find creative solutions.
- Developing and maintaining our in-house market models, embracing an ethos of continuous technological development to help ensure our modelling solutions remain relevant.
- You will process and maintain data accurately and promptly in databases using technical and basic market knowledge.
- Contributing to market reports, transforming our data and model forecasts into meaningful analysis
- You will ensure data quality, accuracy, timeliness, and completeness.
- Supporting improvements to the content and design of our analytical tools, charts, and tables
- Building domain expertise in the US market.
- While focused on the US gas market, you will need to learn broader global themes and trends relevant to LNG and European gas products and be prepared to support the global team covering these.
WHAT DO YOU NEED TO BRING?
- Strong programming skills (MATLAB, Python, or R)
- Natural curiosity and a detail-oriented approach
- Up to 2-3 years of relevant experience in the energy sector, with a focus on the North American gas market.
- Understanding the importance of ensuring data quality and accuracy
- Economic knowledge with a strong grounding in statistics and/or operational research
- Positive attitude to learning new skills and technologies, particularly around the Gas market and analytics.
- Power BI knowledge is an advantage.
Qualification:
- BA, BS or Master’s degree or equivalent experience
Career Stage:
Senior AssociateLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Senior Research Gas Specialist - North America at LSEG rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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