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For Companies At a Glance
- Tasks: Join a dynamic team to design and implement cutting-edge trading strategies.
- Company: A top-tier international trading firm with a focus on systematic strategies.
- Benefits: Enjoy competitive salaries, bonuses based on performance, and relocation support.
- Why this job: Make a real impact in the fast-paced world of US equities trading.
- Qualifications: Advanced degree in a quantitative field and programming skills required.
- Other info: Ideal for those passionate about data and trading, with opportunities for growth.
The predicted salary is between 48000 - 84000 £ per year.
A leading international systematic trading firm is looking to bring on a talented mid level statistical arbitrage quantitative researcher/trader in London to help in the design, development, and implementation of systematic trading strategies. You’ll be working alongside experienced industry professionals on projects including alpha research, risk management, and portfolio construction, and will have the chance to see the direct impact of your work on the business. This will be US equities intraday trading.
Requirements:
- Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.).
- Programming experience in one major language (C++, C#, Python etc.).
- Prior experience or internships in systematic alpha research is beneficial.
- Prior experience or internships in automated market making is beneficial.
- Experience working with large data sets.
This position will allow you to get a PnL cut for bonuses in addition to a top base salary. Happy to relocate people from around the world!
Quantitative Trader | Researcher employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader | Researcher
✨Tip Number 1
Network with professionals in the quantitative trading field. Attend industry conferences, webinars, or local meetups to connect with people who work at firms like ours. Building relationships can often lead to referrals and insider information about job openings.
✨Tip Number 2
Showcase your programming skills through personal projects or contributions to open-source platforms. Highlighting your ability to code in languages like Python or C++ can set you apart from other candidates and demonstrate your practical experience.
✨Tip Number 3
Stay updated on market trends and developments in systematic trading. Being knowledgeable about current events and innovations in the field will not only help you in interviews but also show your genuine interest in the role and the industry.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and data analysis questions relevant to quantitative trading. Familiarise yourself with statistical methods and algorithms commonly used in the industry to demonstrate your expertise during the interview process.
We think you need these skills to ace Quantitative Trader | Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree in a quantitative subject and any relevant programming experience. Emphasise your internships or work experience related to systematic alpha research and automated market making.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that demonstrate your skills in statistical arbitrage and working with large data sets.
Showcase Technical Skills: Clearly outline your programming skills in languages like C++, C#, or Python. Provide examples of how you've used these skills in previous roles or projects, particularly in relation to trading strategies or data analysis.
Highlight Impactful Contributions: When detailing your past experiences, focus on the impact of your contributions. Use quantifiable results where possible, such as improvements in trading performance or efficiency gains from your research.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Make sure to highlight your programming experience, especially in languages like C++, C#, or Python. Be prepared to discuss specific projects where you've applied these skills, particularly in relation to statistical arbitrage or systematic trading.
✨Demonstrate Your Quantitative Knowledge
Since the role requires an advanced degree in a quantitative subject, be ready to discuss your academic background and any relevant research. Prepare to explain complex concepts in a clear manner, as this will showcase your understanding and ability to communicate effectively.
✨Discuss Your Experience with Data
Given the importance of working with large data sets in this role, come prepared with examples of how you've handled data in previous positions or internships. Discuss any tools or methodologies you used to analyse data and derive insights.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-time trading situations. Practice articulating your thought process and decision-making strategies, as this will demonstrate your analytical skills and readiness for the fast-paced environment.
