Energy Markets Quantitative Analytics Placement

ExxonMobil; Greater London; Sur place; GBP 20 000 - 27 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Option theory

AI / ML

Neural networks

Monte Carlo simulations

Stochastic dynamic programming

Graph theory

Python

Java

C++

C

Formation

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

Description du poste

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.