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- Tasks: Develop and deploy cutting-edge trading algorithms using advanced market analysis.
- Company: Join a leading firm in the fast-paced world of quantitative trading.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make an impact in finance with innovative strategies and technology.
- Qualifications: Degree in STEM, strong maths skills, and programming experience in Python or C++.
- Other info: Collaborative team culture with access to sophisticated trading systems.
The predicted salary is between 50000 - 70000 £ per year.
As a Quantitative Trader, you will utilize an in-house trading system—among the fastest and most sophisticated in the world—to develop and deploy algorithmic trading strategies driven by patterns in market behaviour.
Responsibilities
- Designing, implementing, and deploying trading algorithms
- Exploring trading ideas by analyzing market data, market microstructure, and alternative data sources for patterns
- Creating tools to support data analysis and pattern recognition
- Contributing to libraries of analytical computations used for market data analysis and strategy development
- Developing, refining, and calibrating exchange simulators
Qualifications
- A Bachelor's, Master's, or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or a related STEM field
- Experience in high-frequency or quantitative trading is preferred but not required
- Strong foundation in mathematics and statistics
- Proficiency in back-testing, simulation, and statistical techniques such as auto-regression, auto-correlation, and Principal Component Analysis
- Solid skills in data mining and analysis, with experience working with large datasets
- Familiarity with signal generation and statistical modelling
- Strong programming abilities in Python and/or C++
Quantitative Trader - Equity - London employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader - Equity - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow traders. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading algorithms or data analysis projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your approach to algorithm design and how you analyse market data. Practice common quantitative trading interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly shows your enthusiasm for joining our team. Plus, it’s super easy to navigate!
We think you need these skills to ace Quantitative Trader - Equity - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role of a Quantitative Trader. We want to see how your background in Mathematics, Statistics, or Computer Science can contribute to our trading strategies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your analytical skills can help us develop cutting-edge algorithms. Keep it concise but impactful!
Showcase Your Technical Skills: Since programming is key for this role, make sure to mention your proficiency in Python and/or C++. If you've worked on any relevant projects or have experience with back-testing and simulation, let us know!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Qenexus
✨Know Your Algorithms
Brush up on your knowledge of algorithmic trading strategies. Be ready to discuss how you would design and implement these strategies using the in-house trading system. Show them that you can think critically about market behaviour and how to leverage it.
✨Data is Your Best Friend
Familiarise yourself with data analysis techniques, especially those mentioned in the job description like auto-regression and Principal Component Analysis. Prepare to talk about your experience with large datasets and how you've used data mining to uncover patterns.
✨Show Off Your Coding Skills
Since programming is key for this role, be prepared to demonstrate your proficiency in Python and/or C++. You might even want to practice coding challenges or algorithms beforehand to showcase your skills during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies and tools. This shows your genuine interest in the role and helps you understand how you can contribute to their success. Plus, it gives you a chance to engage with the interviewers on a deeper level.