At a Glance
- Tasks: Develop and implement quantitative models for pricing exotic options.
- Company: Join a world-leading physical and financial energy commodities trader.
- Benefits: Work remotely and enjoy corporate perks in a dynamic environment.
- Why this job: Be part of a small, impactful team driving systematic trading innovation.
- Qualifications: Proficiency in Python or C++ and experience with commodities options derivatives required.
- Other info: No up-to-date CV needed; opportunities available in London, Geneva, New York, and Houston.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
You’ll be developing and implementing quantitative models and strategies for pricing exotic options at a world leading physical, financial energy and commodities trader.
You’ll be an important addition to the Head of Options trading’s small team, helping to build a more robust systematic trading effort.
You’ll bring your algorithmic and systematic experience (ML, AI approach to trading including options) in an effort to diversify their systematic portfolio.
You’ll need proficiency in Python or C++ coupled with commodities experience pricing options derivatives. If this is across exotics, that is even more of a plus.
Seats available across their global presence such as London, Geneva, New York and Houston.
Looking to join a smaller, yet impactful team within a leading commodities firm? Please reach out.
No up-to-date CV required.
Quant Analyst at a Global Commodities firm employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst at a Global Commodities firm
✨Tip Number 1
Network with professionals in the commodities trading sector. Attend industry conferences or webinars where you can meet people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your knowledge of exotic options and derivatives. Familiarise yourself with recent trends and developments in the commodities market, as this will show your genuine interest and understanding during any discussions.
✨Tip Number 3
Prepare to discuss your experience with algorithmic trading and machine learning. Be ready to share specific examples of how you've applied these skills in previous roles, as this will demonstrate your capability to contribute effectively to their team.
✨Tip Number 4
Research the company’s current trading strategies and performance. Understanding their approach will allow you to tailor your conversations and show how your skills can enhance their systematic trading efforts.
We think you need these skills to ace Quant Analyst at a Global Commodities firm
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Quant Analyst position. Focus on the specific skills required, such as proficiency in Python or C++, and experience with pricing exotic options.
Highlight Relevant Experience: In your application, emphasise any previous experience you have with algorithmic trading, machine learning, or systematic strategies. Be sure to mention any direct experience with commodities and derivatives, especially exotic options.
Tailor Your CV: Even though an up-to-date CV is not required, it’s still a good idea to prepare one that highlights your relevant skills and experiences. Make sure to tailor it specifically to the role of Quant Analyst, showcasing your quantitative modelling capabilities.
Craft a Compelling Cover Letter: If a cover letter is optional, consider writing one anyway. Use it to express your enthusiasm for the role and the company, and explain how your background makes you a perfect fit for their team.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or C++. Be prepared to discuss specific projects where you've developed quantitative models or strategies, especially those related to pricing exotic options.
✨Demonstrate Your Knowledge of Commodities
Familiarise yourself with the commodities market and be ready to discuss how your experience relates to pricing options derivatives. Mention any relevant experience you have with exotic options to stand out.
✨Prepare for Algorithmic Trading Questions
Expect questions about algorithmic and systematic trading approaches, particularly involving machine learning and AI. Be ready to explain how these techniques can enhance trading strategies in the commodities sector.
✨Express Your Teamwork Skills
Since you'll be joining a small team, it's crucial to convey your ability to collaborate effectively. Share examples of past teamwork experiences, especially in high-pressure environments, to demonstrate your fit for their culture.