At a Glance
- Tasks: Develop and maintain quantitative models for trading using advanced analytics and data science.
- Company: Join ExxonMobil, a leader in energy innovations and a diverse workforce.
- Benefits: Enjoy competitive salary, generous allowances, pension scheme, and private healthcare.
- Why this job: Make a real impact in global energy markets with cutting-edge analytical techniques.
- Qualifications: Master's or Ph.D. in STEM fields with 5-10 years of relevant experience.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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 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 ExxonMobil's position in global energy markets and creates lasting value throughout the energy value chain.
What role you will play on our team:
- 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.
What you will do:
- Researches, develops and maintains quantitative models for the trading business by leveraging interdisciplinary methods in mathematics, statistics, econometrics, data science, and computer science.
- Applies understanding of market fundamentals, dynamics and instruments available to identify, value, and deliver trading/hedging strategies for physical optionality.
- Develops, validates, back-tests and maintains asset/trade valuation and optionality evaluation.
- Conducts financial, commercial and statistical analysis for projects, and supports market-based asset valuation studies.
- Provides subject matter expertise to the trading team regarding leading-edge analytical techniques, technologies, and tools in quantitative analytics.
- Makes recommendations on risk management strategy and the use of instruments/derivatives.
- Employs technology to enable leading edge data modeling using tools and programming languages.
- Remains knowledgeable of state-of-the-art quantitative finance theory, methods and technologies.
- Communicates with fundamental/desk analysts across multiple trading teams to understand needs and report results.
- Collaborates with stakeholders on model implementation, system integration, data analytics, and risk management.
- Documents model methodologies to create institutionalized value.
About You:
Candidates should have a track record of maximizing value for their businesses, delivering first tier business results, and demonstrating behaviours that are aligned with ExxonMobil's values and culture. Candidates should be self-motivated and excel at achieving business results through collaborating 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. Ideal candidate should be flexible with regard to occasional international travel.
Skill Requirements are as follows:
- Master in Finance, Economics, Statistics, Computer Science, Math, Engineering and other STEM majors. Ph.D. is preferred.
- 5-10 years 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. Familiar 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.
Your benefits:
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
- Competitive starting salary
- Generous resettlement allowance
- Defined Benefit Pension scheme
- Share incentive plan
- Private healthcare for employees and their families
Please note benefits may be changed from time to time without notice, subject to applicable law.
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.
Quant Trading Strategies Cross Assets in London employer: ExxonMobil
Contact Detail:
ExxonMobil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Trading Strategies Cross Assets in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your quantitative skills. Use real-world examples from your experience to demonstrate how you've maximised value in previous roles.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and expertise. At StudySmarter, we encourage you to check out our website for tailored opportunities that fit your skill set.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a simple way to stand out from the crowd.
We think you need these skills to ace Quant Trading Strategies Cross Assets in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quant Trading Strategies. Highlight your relevant experience in energy trading, quantitative analysis, and any specific skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with ExxonMobil's vision. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role requires strong proficiency in Python and knowledge of econometrics, make sure to highlight these skills prominently. If you've worked on relevant projects or have experience with specific tools, let us know – we’re keen to see your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at ExxonMobil!
How to prepare for a job interview at ExxonMobil
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've developed or worked with. Be prepared to explain how you applied statistical methods or econometrics in real-world scenarios, especially in energy trading.
✨Market Fundamentals Matter
Make sure you understand the current trends in global oil, gas, and energy markets. Being able to discuss recent market movements and their implications will show that you're not just a numbers person but also have a solid grasp of the industry.
✨Showcase Your Tech Skills
Familiarise yourself with Python and any relevant packages like Pandas or Scikit-learn. Be ready to talk about your experience with programming and data modelling, as well as any projects where you used these skills to solve complex problems.
✨Communicate Clearly
Practice distilling complex analyses into simple terms. During the interview, aim to communicate your ideas clearly and concisely, as this will demonstrate your ability to collaborate effectively with multi-disciplinary teams.