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- Tasks: Develop Python tools for trading and maintain high-performance analytics systems.
- Company: Leading global hedge fund with a focus on innovation and performance.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Exciting opportunity to work with low-latency systems in a fast-paced environment.
- Why this job: Join a high-performing team and make an impact in the world of finance.
- Qualifications: Strong Python and SQL skills, degree in a quantitative field, and experience in quantitative development.
The predicted salary is between 60000 - 80000 £ per year.
A leading global hedge fund is looking for experienced Quantitative Developers for their Trading and Data Platform & Risk Analytics teams in Greater London. The role involves developing Python-based tools for systematic trading, maintaining analytics systems, and ensuring high-performance production systems.
Ideal candidates have:
- Strong Python and SQL skills
- A degree in a quantitative field
- Substantial experience in quantitative development
- Knowledge of low-latency systems like C#
This is essential for this high-performing front-office environment.
Front-Office Quant Developer for Trading & Analytics employer: Attribution Search
Contact Detail:
Attribution Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front-Office Quant Developer for Trading & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio of your Python projects or any trading tools you've developed. We want to see your work in action, so make it easy for potential employers to check out your coding chops.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and low-latency systems knowledge. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Front-Office Quant Developer for Trading & Analytics
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in previous projects, especially in trading or analytics contexts. Don't hold back on showcasing any cool tools or systems you've developed!
Quantitative Background is Key: Since we're looking for candidates with a strong quantitative background, be sure to mention your degree and any relevant experience. We love seeing how you've applied your knowledge in real-world scenarios, so share those details!
SQL Savvy? Let Us Know!: If you've got solid SQL skills, make them known! We need developers who can handle data efficiently, so include examples of how you've used SQL in your past roles. This will definitely catch our eye!
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 it gets into the right hands. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Attribution Search
✨Master Your Python Skills
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to develop tools for trading or analytics. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Know Your SQL Inside Out
Since SQL is a key part of the role, ensure you're comfortable with complex queries and data manipulation. Prepare to answer questions about how you've used SQL in past projects, and consider running through some sample queries to refresh your memory.
✨Understand Low-Latency Systems
Familiarise yourself with low-latency systems, especially if you have experience with C#. Be prepared to discuss how these systems work and why they are crucial in a trading environment. This knowledge will show that you understand the demands of a high-performance front-office setting.
✨Showcase Your Quantitative Background
Highlight your degree in a quantitative field and any relevant experience in quantitative development. Be ready to discuss specific methodologies or models you've worked with, as this will demonstrate your expertise and fit for the role.