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- Tasks: As a Quant Analyst, you'll model prices and build simulation tools for energy commodities.
- Company: Join a top IT Consultancy partnered with a major Oil & Gas player in the Middle East.
- Benefits: Enjoy a competitive day rate and travel opportunities to the Middle East each month.
- Why this job: This role offers hands-on experience in a dynamic industry with a focus on innovation and impact.
- Qualifications: You need a PhD or MS in a quantitative field and expert coding skills in Python, C#, or C++.
- Other info: Ideal for those passionate about energy trading and looking to make a difference.
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
Showcase your coding skills by working on relevant projects or contributing to open-source initiatives. This will not only enhance your portfolio but also demonstrate your practical experience with languages like Python, C#, or C++.
✨Tip Number 3
Familiarise yourself with the specific models and tools mentioned in the job description. Consider creating a small project that involves building a Monte Carlo simulation or a gas storage model to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by brushing up on your knowledge of energy commodity derivatives and hedging strategies. Be ready to discuss how you would approach pricing complex commodity structures and managing exposure.
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 expertise and give the interviewers confidence in your abilities.
✨Understand the Industry
Familiarise yourself with the energy commodity trading sector, particularly LNG, gas, power, and oil. Be ready to discuss current trends and challenges in the market, as well as how your skills can contribute to solving them.
✨Prepare for Technical Questions
Expect in-depth technical questions related to modelling price processes, Monte Carlo simulations, and stochastic volatility. Brush up on these topics and be ready to explain your thought process and methodologies clearly.
✨Demonstrate Problem-Solving Skills
During the interview, you may be presented with hypothetical scenarios or problems. Approach these with a structured problem-solving mindset, explaining your reasoning and how you would apply your quantitative skills to find solutions.
