Placement - Global Trading - Quantitative Analyst - London 2027

ExxonMobil; Greater London; On-site; GBP 20,000 - 27,000; Full time

Job summary

ExxonMobil UK seeks a penultimate/final-year masters or PhD candidate to join its 2027 Placement Programme in Global Trading. You will work 3–6 months with the Quantitative Analytics team on the trading floor, mentored by senior quants.

Key tasks include learning energy markets, developing pricing models, and presenting results to traders. Proficiency in Python (preferred) and other languages (Java/C++) is desirable, with start available from April 2027.

Qualifications

• Penultimate or final year of Masters/PhD in Mathematical Finance or related field.
• Understanding of option theory, stochastic calculus, and Greeks.
• Knowledge of AI/ML, especially Neural Networks.
• Familiar with Monte-Carlo simulations, stochastic dynamic programming, high-dim optimizations.
• Proficiency in Python (ideally), Java, C++, or C.

Responsibilities

• Develop understanding of energy commodity markets.
• Support market-based valuations of assets and structured deals.
• Develop quantitative derivatives pricing models and test performance across regions.
• Create comprehensive model documentation to support validation activities.
• Deliver presentations to Trading desks and Quantitative Analytics teams on newly developed models, highlighting methodology and results.

Skills

Option theory

AI / ML

Neural networks

Monte Carlo simulations

Stochastic dynamic programming

Graph theory

Python

Java

C++

C

Education

Masters or PhD in Mathematical Finance, Computational Finance, Financial Engineering, or similar

Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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 optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

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. Learn more about our What and our Why and how we can work together .

ExxonMobil Global Trading is where we trade oil, natural gas, and energy products safely and responsibly around the world. We leverage our expertise in analytics, logistics, origination, and knowledge of energy markets to maximize the value of our global assets and deliver industry-leading results. This is an exciting time to join our growing trading team and be an integral part of ExxonMobil!

What role will you 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

- Be in the penultimate or final year of your Masters 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

Alternate Location:

Conditions of Employment
Successful candidates will be made a conditional offer of employment. The conditions include, but are not limited to: a satisfactory criminal records disclosure; satisfactory employment references over five years (where applicable); verification of qualifications, including any professional accreditation stated in the application; completion of a pre-employment medical, including a test for illicit or unprescribed drugs in accordance with the Company's safety policies; and the legal right to work on the agreed commencement date.

Equal Employment Opportunity Policy

ExxonMobil and its United Kingdom subsidiary companies, Esso Petroleum Company, Limited, and ExxonMobil Chemical Limited, are equal opportunity employers and all qualified applicants will receive consideration for employment. All applicants are offered equal opportunity to demonstrate their abilities during our recruitment processes, therefore, please contact the Recruitment Team if you wish to discuss any particular requirements to enable you to complete our recruitment process.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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