At a Glance
- Tasks: Join a dynamic team to develop and manage trading strategies in commodities options.
- Company: A leading hedge fund known for its innovative quantitative trading and research.
- Benefits: Enjoy excellent career growth opportunities and work in a fast-paced environment.
- Why this job: Be part of a rapidly growing team with a strong performance track record and collaborative culture.
- Qualifications: Experience in systematic trading, strong Python skills, and a passion for commodities required.
- Other info: Reach out via email to discuss this exciting opportunity further.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Quantitative Researcher – Commodities Options
A world-renowned hedge fund at the forefront of quantitative trading and research is seeking a quantitative researcher in systematic commodities options for their desk in London which is experiencing rapid growth driven by outstanding performance.
Work with a team of quants to develop and manage various scalable medium frequency trading strategies, generating new alpha, process signals and risk management. This position offers excellent exposure and further career growth opportunities as the team continues to expand.
Key Qualifications:
- Years experience in systematic trading strategy development, ideally within a medium frequency trading environment.
- Outstanding performance and live track record, with a 2-3+ Sharpe.
- Strong Python programming skills.
- Ability to communicate and collaborate effectively within a team environment.
- Strong interest and background working within commodities.
Reach out at mmurphy@algocapitalgroup.com to discuss the opportunity further.
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Commodities Options
✨Tip Number 1
Familiarise yourself with the latest trends in commodities trading and quantitative research. This will not only help you understand the market better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the field of quantitative research and commodities trading. Attend industry conferences, webinars, or local meetups to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your Python programming skills, focusing on libraries and frameworks commonly used in quantitative finance. Being able to demonstrate your coding abilities in practical scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences with systematic trading strategies. Be ready to share specific examples of how you've developed and managed these strategies, as well as the outcomes and learnings from those experiences.
We think you need these skills to ace Quantitative Researcher - Commodities Options
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in systematic trading strategy development, especially within a medium frequency trading environment. Include specific examples of your performance metrics, such as your Sharpe ratio.
Showcase Python Skills: Since strong Python programming skills are essential for this role, include any relevant projects or experiences that demonstrate your proficiency. Consider adding links to any code repositories or projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your strong interest in commodities and how your background aligns with the team's goals. Highlight your ability to collaborate effectively within a team and your enthusiasm for contributing to their growth.
Prepare for Technical Questions: Be ready to discuss your previous work and the strategies you've developed. Prepare to answer technical questions related to quantitative research and trading, as well as your approach to risk management and signal processing.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in systematic trading strategy development. Highlight specific projects where you've successfully implemented medium frequency trading strategies, and be ready to explain the outcomes and your contributions.
✨Demonstrate Python Proficiency
Since strong Python programming skills are crucial for this role, brush up on your coding abilities. You might be asked to solve a problem or demonstrate your coding skills during the interview, so practice common algorithms and data structures relevant to quantitative research.
✨Communicate Effectively
This position requires collaboration within a team environment. Prepare to discuss how you’ve worked with others in the past, focusing on your communication style and how you handle feedback. Be ready to provide examples of successful teamwork.
✨Express Your Passion for Commodities
Make sure to convey your strong interest and background in commodities. Research current trends and challenges in the commodities market, and be prepared to discuss how these factors could influence trading strategies. Showing genuine enthusiasm can set you apart.