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- Tasks: Join a dynamic team to design and implement systematic trading strategies.
- Company: A top-tier international trading firm with a focus on innovation and performance.
- 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 while learning from industry experts.
- Qualifications: Advanced degree in a quantitative field and programming skills in languages like Python or C++.
- Other info: Open to relocating talent globally; ideal for those passionate about quantitative finance.
The predicted salary is between 43200 - 72000 £ 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.
Essential Skills:
- Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.).
- Programming experience in one major language (C++, C#, Python etc.).
- Alpha researcher from an equities/stat-arb background.
- Non competes of less than 12 months.
- At least 2 years working within this space.
Desired Skills:
- 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 Researcher/Trader Stat Arb employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher/Trader Stat Arb
✨Tip Number 1
Network with professionals in the quantitative trading space. Attend industry conferences, webinars, or local meetups to connect with people who work at systematic trading firms. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your programming skills, especially in languages like Python or C++. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop systematic trading strategies.
✨Tip Number 3
Stay updated on market trends and statistical arbitrage strategies. Read relevant research papers, follow industry blogs, and engage in online forums to deepen your understanding of the field and demonstrate your passion during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Quantitative Researcher/Trader Stat Arb
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree in a quantitative subject and relevant programming experience. Emphasise any specific projects or roles that relate to statistical arbitrage and systematic trading.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and trading. Mention your experience with alpha research and risk management, and how you can contribute to the firm's success in US equities intraday trading.
Showcase Relevant Experience: Detail any internships or previous roles related to systematic alpha research or automated market making. Highlight your ability to work with large data sets and any specific achievements in these areas.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors. Ensure that your writing is clear and professional, as attention to detail is crucial in this field.
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 Python or C++. Be prepared to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Quantitative Knowledge
Since this role requires an advanced understanding of quantitative methods, brush up on key concepts in statistics and mathematics. Be ready to explain how you've used these concepts in previous roles, particularly in alpha research or statistical arbitrage.
✨Prepare for Case Studies
Expect to tackle case studies or technical questions during the interview. Practice solving problems related to systematic trading strategies and be ready to articulate your thought process clearly and logically.
✨Understand the Firm's Trading Strategies
Research the firm's approach to systematic trading and be familiar with their market focus, particularly in US equities. This will not only show your interest in the company but also help you align your answers with their objectives during the interview.
