Quant Trading Strategies Cross Assets

At Exxon Mobil, 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 Global Trading business stems from the expertise, innovation, and collaboration of our people. Leveraging advanced analytics, logistics, origination, and deep market knowledge, Global Trading maximizes the value of our assets and delivers industry‑leading results. Every day, we develop data‑driven strategies to manage flexibility, capture opportunities, and enhance portfolio performance across oil, natural gas, and energy products. By building innovative commercial solutions and applying deep market insights, Global Trading strengthens Exxon Mobil’s position in global energy markets and creates lasting value throughout the energy value chain.

Provides quantitative analyses to the Trading Community, Business Developers, Commercial Advisors, and/or Project Teams – using derivatives expertise, optionality evaluation, opportunity identification, structuring, asset valuations and statistical modelling to support trading, commercial and project activities and studies.

• Research, develop and maintain quantitative models for the trading business by leveraging interdisciplinary methods in mathematics, statistics, econometrics, data science, and computer science.
• Apply understanding of market fundamentals, dynamics and instruments available to identify, value, and deliver trading/hedging strategies for physical optionality.
• Develop, validate, back‑test and maintain asset/trade valuation and optionality evaluation.
• Conduct financial, commercial and statistical analysis for projects, and support market‑based asset valuation studies.
• Provide subject‑matter expertise to the trading team regarding leading‑edge analytical techniques, technologies, and tools in quantitative analytics.
• Make recommendations on risk‑management strategy and the use of instruments/derivatives.
• Employ technology to enable leading edge data modelling using tools and programming languages.
• Remain knowledgeable of state‑of‑the‑art quantitative finance theory, methods and technologies.
• Communicate with fundamental/desk analysts across multiple trading teams to understand needs and report results.
• Collaborate with stakeholders on model implementation, system integration, data analytics, and risk management.
• Document model methodologies to create institutionalised value.

Candidates should have a track record of maximizing value for their businesses, delivering first‑tier business results, and demonstrating behaviours that are aligned with Exxon Mobil’s values and culture. Candidates should be self‑motivated and excel at achieving business results through collaboration as part of a multi‑disciplined team. Demonstrated teamwork, communication and leadership skills are essential. Candidates should be able to distill complex analysis into simple terms.

The ideal candidate should be flexible with regard to occasional international travel.

• Master’s in Finance, Economics, Statistics, Computer Science, Math, Engineering or other STEM majors. PhD preferred.
• 5–10 years of working experience in energy trading, investment banks, or buy‑side firms.
• Knowledge of global or regional oil, oil products, or power and gas markets, deep understanding of proprietary trading strategies and related risk‑management standards and best practices.
• Understanding of econometrics and option theory, particularly stochastic calculus and option Greeks. Familiarity with Monte Carlo simulation and dynamic programming.
• Strong proficiency in Python, including relevant packages (e.g., Pandas, Stats Models, Scikit‑learn). Experience in software development lifecycle and object‑oriented programming (e.g., C++, Java) is helpful.

• Competitive starting salary
• Generous resettlement allowance
• Defined benefit pension scheme
• Share incentive plan
• Private healthcare for employees and their families
• P…