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- 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 options derivatives required.
- Other info: No up-to-date CV needed; opportunities available in major global cities.
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
Familiarise yourself with the latest trends in quantitative finance, especially in the realm of exotic options. Understanding current market dynamics and how they affect pricing can give you an edge during discussions.
✨Tip Number 2
Network with professionals in the commodities trading space. Attend industry events or webinars to connect with people who work in similar roles; they might provide insights or even refer you to opportunities within their firms.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or C++. Consider working on personal projects that involve algorithmic trading or machine learning applications in finance to showcase your capabilities.
✨Tip Number 4
Prepare to discuss your previous experiences with systematic trading strategies. Be ready to explain how your background in commodities and derivatives can contribute to the team's goals and enhance their 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: Familiarise yourself with the specifics of the Quant Analyst position. Focus on the requirements such as proficiency in Python or C++, and experience with pricing exotic options. Tailor your application to highlight relevant skills and experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous work with algorithmic trading, machine learning, or systematic strategies. If you have experience with commodities or derivatives, make sure to showcase that prominently.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in this specific role at the commodities firm. Discuss how your background aligns with their needs and express your enthusiasm for joining a smaller, impactful team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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.
