At a Glance
- Tasks: Join a dynamic team to develop and test quantitative trading models.
- Company: A growing mid-frequency trading firm with a focus on innovation.
- Benefits: Competitive salary, mentorship from industry experts, and career advancement opportunities.
- Other info: Collaborative environment with a strong emphasis on applied research.
- Why this job: Make an impact in global markets while learning from seasoned professionals.
- Qualifications: 2-8+ years coding experience, proficient in Python or C++, strong maths background.
The predicted salary is between 60000 - 90000 £ per year.
I am hiring on behalf of a growing mid-frequency trading firm that employs applied research methods to test investment hypotheses and design quantitative computer-driven trading models across various investment horizons and global liquid asset classes. They are actively hiring for highly motivated and skilled Quantitative Developers/Quant Researchers to join the team. This fund is growing their front office team engaged in trading across global markets. The projects will primarily focus on the team’s systematic trading, and you will work directly with and learn from senior quantitative portfolio managers and engineers with years of experience across all major financial markets.
Requirements:
- 2-8+ years of professional coding experience
- Proficient in Python or C++
- Background in and aptitude for probability, statistics and advanced mathematics
- Strong work ethic and sense of accountability
- Masters or PhD in Computer Science or related subject
Quantitative Devloper/Researcher employer: Radley James Limited
Join a dynamic mid-frequency trading firm that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact trading strategies across global markets. With a strong emphasis on professional development, you will have the opportunity to learn from seasoned experts in quantitative finance while enjoying a supportive environment that fosters growth and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Devloper/Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your knowledge.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills in Python or C++. Practice solving problems related to probability and statistics, as these are key areas they'll likely focus on during the interview.
✨Tip Number 3
Showcase your projects! If you've worked on any quantitative models or trading strategies, make sure to highlight them in conversations. This will demonstrate your hands-on experience and passion for the field.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative to connect with us directly. It shows you're serious about joining our team and ready to dive into the world of quantitative trading.
We think you need these skills to ace Quantitative Devloper/Researcher
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your coding experience in Python or C++. We want to see how you've applied your skills in real-world scenarios, so don’t hold back on those projects that showcase your expertise!
Math Matters:Since we're all about quantitative research, it’s crucial to demonstrate your background in probability, statistics, and advanced mathematics. Share any relevant coursework or projects that illustrate your understanding of these concepts.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Developer/Researcher role. Show us why you’re the perfect fit for our team!
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 ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Radley James Limited
✨Know Your Code Inside Out
Make sure you’re comfortable discussing your coding experience in Python or C++. Be ready to explain your thought process behind specific projects, as well as any challenges you faced and how you overcame them. This shows not only your technical skills but also your problem-solving abilities.
✨Brush Up on Your Maths
Since the role requires a strong background in probability, statistics, and advanced mathematics, it’s crucial to review these concepts before the interview. Be prepared to answer questions that test your understanding and application of these principles in real-world scenarios, especially in relation to trading models.
✨Show Your Passion for Trading
Demonstrate your enthusiasm for the financial markets and quantitative research. Familiarise yourself with current trends in mid-frequency trading and be ready to discuss how you can contribute to the team’s systematic trading projects. This will help you stand out as a candidate who is genuinely interested in the field.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers about their trading strategies, team dynamics, and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
