Placement - Global Trading - Quantitative Analyst - London 2027
Placement - Global Trading - Quantitative Analyst - London 2027
Finance, Analytics, Data, Maths, Business.
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimise our strategy in energy, chemicals, lubricants and lower-emissions technologies.
Our Global Trading Team
Graduates joining us are offered long-term career development.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs.
What role you will play in our team
We are now recruiting for our 2027 Placement Programme. We are seeking an exceptional individual who will spend between 3 and 6 months with our global Quantitative Analytics team in our Global Trading organization, commencing in April 2027.
This team’s general responsibility is working day-to-day with traders, analysts, origination and business-development teams across global business lines to support trading, commercial, and project activities and studies. As part of our Placement Programme, you will be mentored by Senior Front-Office Quants and work very closely with our trading teams on our trade floor.
What you will do
You will apply your skills to accomplish the following:
Develop a good understanding of the energy commodity markets.
Participate in supporting market-based valuations of physical assets and structured deals.
Develop quantitative derivatives pricing models and test performance across all regions.
Developed comprehensive quantitative model documentation to support model validation activities.
Deliver presentations to Trading desks and Quantitative Analytics teams on newly developed models, highlighting methodology, key results and performance.
Whilst on placement with ExxonMobil you will have support and guidance from managers, supervisors and recent graduates to enable you to apply your degree knowledge and fulfil your potential. You will gain confidence and experience as an individual, learning new skills in a real trading environment.
About you
To be eligible for this role, you must:
Be in the penultimate or final year of your Master's or PhD studies in Mathematical Finance, Computational Finance, Financial Engineering, or similar subject
Have a good understanding about option theory, particularly stochastic calculus and option Greeks.
Have a good understanding about AI/Machine Learning and in particular Neural Networks.
Be familiar with Monte-Carlo simulations, stochastic dynamic programming, high dimension optimizations and ideally graph/network theory.
Be fluent in a programming language such as Python (ideally), Java, C++, C.
Be seeking to gain work experience on a paid 3- to 6-month placement, with start dates available from April 2027.
Be able to demonstrate:
Outstanding analytical, numerical and problem-solving skills
A strong attention to details
An interest in energy commodity and financial markets
The ability to communicate, collaborate and work effectively with in an international team environment
Leadership, resilience and independence capabilities
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