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- Tasks: Lead statistical arbitrage strategies in commodities and collaborate with fellow researchers.
- Company: A top hedge fund in Greater London with a focus on innovation.
- Benefits: PnL driven compensation model and opportunities for professional growth.
- Why this job: Make a real impact in the financial world while working with cutting-edge strategies.
- Qualifications: 3+ years of experience, exceptional coding skills in Python or C++, and market knowledge.
- Other info: Join a dynamic team and thrive in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading hedge fund in Greater London is seeking multiple senior quant researchers to expand its Macro desk. In this role, you will lead statistical arbitrage RV strategy in commodities and collaborate with other researchers to develop systematic strategies. The position offers a PnL driven compensation model based on the profits generated by your signals.
Ideal candidates will have:
- Exceptional coding skills in Python or C++
- A successful track record of at least 3 years in generating positive alpha
- Knowledge of global markets
Senior Quant Researcher: Systematic Macro RV in Commodities in London employer: J K Barnes
Contact Detail:
J K Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher: Systematic Macro RV in Commodities in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quant research space. Attend industry events or webinars to meet potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects in Python or C++. This will give you an edge and demonstrate your ability to generate positive alpha.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of global markets and statistical arbitrage strategies. Be ready to discuss your past successes and how you can contribute to the Macro desk.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Quant Researcher: Systematic Macro RV in Commodities in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python or C++. We want to see how you've used these skills to generate positive alpha in your previous roles.
Quantify Your Success: When discussing your experience, be specific about your achievements. Use numbers and examples to illustrate how you've contributed to PnL in your past positions.
Know Your Markets: Demonstrate your knowledge of global markets in your application. We’re looking for candidates who can show a deep understanding of the commodities space and how it relates to systematic strategies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at J K Barnes
✨Know Your Numbers
Make sure you can discuss your past performance in detail. Be ready to explain how you've generated positive alpha in previous roles, including specific strategies and outcomes. This will show that you understand the metrics that matter in this field.
✨Brush Up on Coding Skills
Since exceptional coding skills in Python or C++ are crucial for this role, we recommend practising coding problems related to quantitative finance. Be prepared to demonstrate your coding abilities during the interview, as they may ask you to solve a problem on the spot.
✨Understand the Market Landscape
Familiarise yourself with current trends in global markets, especially in commodities. Being able to discuss recent developments and how they might impact systematic strategies will show your depth of knowledge and passion for the field.
✨Collaborative Mindset
This role involves collaboration with other researchers, so be ready to discuss your experience working in teams. Share examples of how you've successfully collaborated on projects and contributed to a team environment, as this will highlight your ability to work well with others.
