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 become one of the most experienced companies 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 time-charter.
Combined, 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, focusing 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, leveraging on existing Quant Library and standardizing (and if necessary refactoring) them.
Deploy the derivative pricing models to an execution engine, with support from quantitative developers.
Internal model documentation of mature quant models and preparing them for model validation.
Contribute to high quality, shared understanding of market opportunities, trends, and value potential.
Understand the LNG deal funnel to appropriately prioritize new opportunities in the portfolio.
Capture and share learnings from both internal and external experiences to improve commercial and operational decision making.
Partner with IT, Business Excellence / Commercial Delivery to select and implement new IT solutions and enhancements to existing IT solutions.
Bring rigour/governance to the delivery structure and drive towards full automation where feasible.
Work closely with IT and other support groups on model implementation, system integration, and data analytics.
This position will report to the LNG Derivatives Trading Team Lead and will be responsible for improving analytics and modelling to enhance commercial activities within the LNG short term trading portfolio, focusing on modelling and pricing options originated from physical deals.
What we need from you The successful candidate would be required to:
Have significant experience in commercial/quantitative roles, specifically in the LNG or Gas and Power markets, with a strong track record of performance.
Possess a solid understanding of financial risks from vanillas and exotic structured products.
Have prior work experience with diverse structured products in the commodities space, such as swaptions, calendar spread options, swing options, and/or asset optimisation.
Have prior experience in modelling forward curves and volatility dynamics in commodities.
Have in-depth understanding of Monte Carlo risk modelling methodologies, particularly in derivatives pricing context.
Possess good programming skills, preferably in Python or any low-level languages.
Have an external focus, with expert knowledge of the market, and ability to quickly understand commercial opportunity and its value drivers.
Be precise, and execute flawlessly to maximize value captured.
Be a broad and agile thinker, capable of building trust and credibility.
Demonstrate ability and willingness to quickly understand and act upon commercial opportunities under significant time pressure.
Exhibit a proactive approach and mindset to propose and drive improvement and changes.
Have experience with purposeful collaboration.
Demonstrate prioritisation skills, distinguishing between urgent, important and essential tasks.
Have a "can do" attitude.
Engage in stakeholder management involving effective communication and relations with a large pool of stakeholders.
Other desirable skills include:
Prior experience implementing core quantitative library infrastructure, such as PDE solvers, Monte Carlo simulations, curve and volatility fitting, and model calibration.
Exposure to hardware-aware technology stacks and libraries, such as jax, pytorch, tensorflow, polars.
Exposure to cloud-computing.
Exposure to time series analysis and Machine Learning techniques.
If you don't see yourself fully reflected in every job requirement listed, we still encourage you to reach out and apply.
We are committed to creating a more equitable, inclusive, and diverse company 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.
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