Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Trading Analyst

Shell International
London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Power Analyst (Data Scientist)

Data Scientist - Hedge Fund

Machine Learning Researcher | London, UK

Machine Learning Researcher | London, UK

Machine Learning Quantitative Researcher

Senior Quantitative Data Scientist - Power Markets Optimisation

Shell Trading integrates a worldwide trading network with an unsurpassed global portfolio in crude oil, refined products, natural gas, electrical power, and chemicals.

Where you fit in

Shell Trading integrates a worldwide trading network with an unsurpassed global portfolio in crude oil, refined products, natural gas, electrical power, and chemicals. It has larger locations in London, Houston, Calgary, Singapore, Dubai, Rotterdam, and Barbados. Shell Trading is one of the world’s largest energy traders and is a key segment of the Royal Dutch/Shell portfolio.

Shell LNG Marketing and Trading is one of the world’s leading LNG portfolio businesses. Since the beginnings of the industry over 50 years ago, we have be one of the most experiencedpanies in delivering LNG through managing the purchase and sale of cargoes from Shell, its partners and third parties.

In 2022 Shell’s global LNG trading business delivered hundreds of LNG cargoes to over 25 countries through access to 30 million tonnes of liquefaction volumes from 12 plants and third-party LNG supply. We are one of the world’s largest LNG shipping operators, managing and operating more than 18 carriers and with 65 on , these LNG carriers constitute around 11% of the global LNG shipping fleet.

Our global trading business is made up of key trading hubs in London, Singapore and Dubai with regional offices in The Hague, Houston, Lima, Rio de Janeiro and Mexico City.

What’s the role?

The primary accountabilities of the Quant Analyst are:

Build pricing and modelling across the LNG trading space. The primary focus of this role is on building and implementing pricing exotic structured products and physical optionality, originating from LNG physical contracts. Research and implement derivatives pricing models under a mature pricing engine platform. Leverage on existing Quant Library and implement blocks of models and standardize (and if necessary refactor) them Deploy the derivative pricing models to an execution engine, with support from quantitative developers Internal model documentation of mature quant models and making them ready for model validation  Be able to contribute to enable high quality, shared understanding of market opportunities, trends, and value potential Understand the LNG deal funnel in order to appropriately prioritise new opportunities in the portfolio across the team Capture and share learnings from both internal and external experiences to Shell to help improvemercial and operational decision making Partner with IT, Business Excellence /mercial Delivery to select and implement (full lifecycle; scope, design, build test & deploy) new IT solutions and enhancements to existing IT solutions in readiness for new value propositions or enter new markets. Bring rigourernance to the delivery structure and where feasible drive towards full automation Work closely with IT and other support groups on model implementation, system integration, and data analytics.

This new position will be reporting to the LNG Derivatives Trading Team Lead and will be responsible for improving analytics and modelling to enhancemercial activities within the LNG short term trading portfolio. The role will focus on modelling and pricing options originated from physical deals. Grow the LNG business and make them a significant contributor to SLMT P&L.

The Quantitative Trading Analyst will form part of the front office derivatives trading team, acting as a focal point formercial modelling. The incumbent will understand the end-to-end process flow of a trade lifecycle and through deep knowledge of the LNG markets/business, be part of a team to cater to structured, retail, and imbalance products across the LNG spectrum.

What we need from you

The successful candidate would be required to:

Significant experience inmercial /quantitative roles, specifically in the LNG or Gas and Power markets, with a strong track record of performance Solid understanding of financial risks from vanillas and exotic structured products Prior work with widespread and diverse structured product inmodities space, such as swaptions, calendar spread options, swing options and/or asset optimisation Prior experience in modelling forward curves and volatility dynamics inmodities, Gabillon, HW, local and stochastic vol models. In-depth understanding of Monte Carlo risk modelling methodologies, particularly in derivatives pricing context Good programming skills, preferably in Python or any low-level languages An external focus, with expert knowledge of the market, and ability to quickly understandmercial opportunity, and its value drivers Be precise, and execute flawlessly to maximise value captured A broad and agile, but precise thinker, capable of building trust and credibility This role requires an ability and willingness to quickly understand and act uponmercial opportunities, often under significant time pressure Proactive approach and mind set to propose and drive improvement and changes. Experience and appreciation of purposeful collaboration Prioritisation skills, distinguishing between urgent, important and essential A “can do” attitude is a must Stakeholder management: the role will engage with a large pool of stakeholders, with whom effectivemunications and relations are essential. These include: Trading: GM / RTL / Traders Structuring / Quants Model Validation

Other desirable skills include:

Prior experience implementing core quantitative library infrastructure, such PDE solvers, Monte Carlo simulations, curve and volatility fitting and model calibration Exposure to hardware-aware technology stack and libraries, such as jax, pytorch, tensorflow, polars, is a plus Exposure to cloudputing is a plus Exposure to time series analysis and Machine Learning techniques is a plus

If you don't see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that not everyone often applies when they don’t feel 100% qualified. We aremitted to creating a more equitable, inclusive, and diversepany and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. We look forward to receiving your application.

Shell started operations in the United Kingdom more than 110 years ago. Since then, we have grown into a leading innovative Oil & Energypany that rewards its employees by investing heavily in their careers and learning. Our people are our greatest asset, and ourmitment to your career will see you thrive in a work environment that offers an industry-leading development programme. When your ideas travel, Shell will benefit, and innovation will thrive. Shell has a key role to play in helping meet the UK’s growing energy demand, whilst using innovative technologies to develop cleaner energy. We are the largest FTSE 100pany in the UK by market capitalisation and make a significant contribution to the UK economy. As well as processing 35% of the gasing into the UK, we serve more than four million customers at our filling stations each week. Shell employs some 6,400 skilled staff as well as many contractors.

An innovative place to work

There’s never been a more exciting time to work at Shell.

Join us and you’ll be adding your talent and imagination to a business with the ambition to shape the future – whether by investing in oil, gas and renewable energy to meet demand, exploring new ways to store energy, or developing technology that helps the world to use energy more efficiently, everyone at Shell does their part.

An inclusive place to work

To power progress, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.

We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there. We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology. We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity. We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to work

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

Job ID 00171994

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.