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- Tasks: Design and develop software to support trading teams with innovative quantitative tools.
- Company: Global multi-strategy hedge fund manager with a focus on collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: Proficiency in Python and SQL, with experience in handling large data sets.
- Other info: Exciting projects with potential for career advancement in a thriving environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global multi-strategy hedge fund manager, who are currently looking to hire a Quantitative Developer to work closely with Quantitative Researchers and surrounding Developers in order to design, implement, and deploy software to support their trading teams.
Responsibilities:
- Design, develop, and maintain frameworks/tools to support systematic models, quantitative research and trading activities.
- Optimise and build on top of existing quantitative processes.
- Take ownership of projects and resolve scalability issues to ensure robustness.
Requirements:
- Experience using Python and SQL.
- Experience working with large & complex data sets.
- Familiarity with mathematical & statistical tools.
Quantitative Developer employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at hedge funds. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your mathematical and statistical knowledge. Practice coding challenges that focus on data manipulation and algorithm design to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant mathematical tools. We want to see how your skills align with the role of a Quantitative Developer, so don’t hold back on showcasing your best projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative development and how your background makes you a perfect fit for our client’s needs. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've taken ownership of projects or resolved scalability issues. We love seeing how you tackle challenges, especially in complex data environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Aurum Search Limited
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to large data sets. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled scalability issues or optimised existing processes in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions made a difference.
✨Familiarise Yourself with Quantitative Concepts
Since the role involves working closely with quantitative researchers, brush up on your mathematical and statistical tools. Be prepared to discuss how you've applied these concepts in real-world scenarios, as this will demonstrate your understanding of the field.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team dynamics or the specific challenges they face. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.