Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Quant Analyst, modelling energy prices and building simulation tools.
- Company: Work with a top IT consultancy partnered with a major Oil & Gas player in the Middle East.
- Benefits: Enjoy competitive pay, travel opportunities, and the chance to work on impactful projects.
- Why this job: This role offers hands-on experience in energy trading and a chance to innovate in a dynamic field.
- Qualifications: PhD or MS in a quantitative subject; expert coding skills in Python, C#, or C++ required.
- Other info: Expect to travel to the Middle East for about a week each month.
The predicted salary is between 54000 - 84000 £ per year.
Quant Analyst/Structurer – Trading SME – Contract
Competitive Inside IR35 Day Rate on offer
Travel Requirement : Need to spend approximately 1 week in the Middle East every month (travel separate).
Paritas is working with a leading IT Consultancy who is partnered with a large Oil & Gas player in the Middle East.
Required Skills and Experience
- Previous work experience working as a quant in an energy commodity trading organisation, preferably in LNG, gas, power or oil.
- Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), pricing complex commodity structures, modelling stochastic volatility and correlation in commodity prices.
- Good knowledge of energy commodity derivatives and hedging exposure management
- Expert-level coding skills in a language such as Python, C#, or C++
- Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related.
Please reach out for further info
Quantitative Analyst employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network with professionals in the energy commodity trading sector. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 2
Familiarise yourself with the specific tools and software used in the industry, especially those related to Monte Carlo simulations and pricing models. Being able to demonstrate your proficiency in these areas during interviews can set you apart.
✨Tip Number 3
Stay updated on current events in the oil and gas market, particularly in the Middle East. Understanding the geopolitical factors that influence commodity prices will help you speak knowledgeably during discussions with potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python, C#, or C++. Focus on problems related to quantitative analysis and modelling, as this will showcase your skills effectively.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in energy commodity trading, particularly in LNG, gas, power, or oil. Emphasise your skills in modelling and coding, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Analyst position and how your background aligns with the requirements. Mention specific projects or experiences that demonstrate your expertise in modelling and coding.
Highlight Technical Skills: Clearly list your coding skills, especially in Python, C#, or C++. Provide examples of how you've used these skills in previous roles, particularly in building simulation tools or pricing models.
Showcase Educational Background: Since a PhD or MS in a quantitative subject is preferred, make sure to detail your educational qualifications prominently. Include any relevant coursework or research that relates to the job description.
How to prepare for a job interview at Paritas Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python, C#, or C++. Bring examples of your previous work, especially any models or simulations you've built. This will demonstrate your hands-on experience and technical expertise.
✨Understand the Industry
Familiarise yourself with the energy commodity trading landscape, particularly LNG, gas, power, and oil. Being able to discuss current trends and challenges in these markets will show your genuine interest and knowledge.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex modelling scenarios, as this will highlight your analytical skills.
✨Discuss Your Experience with Stochastic Models
Since the role requires expertise in stochastic volatility and correlation, be ready to explain your experience with these concepts. Share specific examples of how you've applied them in past projects to reinforce your qualifications.
