Senior Quantitative Analyst Gas and LNG Markets, ICIS (Hybrid)

LNRS Data Services Ltd Company
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Quantitative Analyst

Lead Data Insight Analyst

Senior Data Scientist/ Senior Risk Scientist

Senior Clinical Information Scientist

Data Scientist

Senior Data Scientist (GenAI)

About the Role


 

You will be involved in producing and communicating analysis to serve customers in the global energy industry. You will develop and maintain predictive analytic models designed to help customers navigate the conditions in the dynamic natural gas & LNG markets.

We are looking for a highly experienced modeller who has a proven track record of successfully maintaining and developing complex modelling in a Python-coded environment. We work in a dynamic, project-oriented setting, which allows space for innovation and guarantees a high individual responsibility and project ownership.

As part of your role, you will be developing and running innovative analysis approaches and models. Combining data and latest forecasting technology is the basis for our competitor advantage. You will be tasked with stretching analytics projects and be in contact with customers and prospects across the global energy landscape. You will develop team leadership skills as part of an international and diverse team, which requires occasional travel within the EU and potentially inter-continental.
 

Responsibilities
 

Leading the development and maintenance of all our natural gas & LNG models (fundamental, regression, neural networks and multi-stage optimisation models) Structuring, coordinate and integrate the quantitative analysis on natural gas & LNG markets across the company Anticipating improvement of our products and services around data-driven, quantitative energy market models to predict market variables Creating and learn new techniques and apply to existing problems Explaining our analysis to clients and other market participants


Requirements
 

Experience substantial professional in the natural gas & LNG sector, especially in market forecasting and optimisation models Possess understanding of our customers in energy trading and investment and natural gas & LNG markets Able to communicate clearly, empathic and concisely with a wide range of people at different levels Deliver programming skills in Python; SQL and database systems knowledge. Expertise in optimisation model systems like GAMS; experience with versioning systems like Git; Experience and affinity to energy markets, optimisation problems and econometric modelling

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.