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- Tasks: Build and maintain software systems for trading-signal research using Python and C++.
- Company: Dynamic multi-strategy hedge fund located in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team at the intersection of technology and finance.
- Qualifications: 5+ years in software development with strong Python and C++ skills.
- Other info: Collaborative environment with a focus on innovation and data-driven decision making.
The predicted salary is between 48000 - 72000 £ per year.
A multi-strategy hedge fund based in the City of London is seeking a Quantitative Developer to build and maintain software systems for trading-signal research. The ideal candidate will have over 5 years of experience in software development and strong skills in Python and C++. You will work closely with researchers and traders, handling large datasets and implementing algorithms using statistical methods. The role offers the opportunity to contribute at the intersection of technology and finance.
Quant Developer: Build Scalable Trading Signals in City of London employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: Build Scalable Trading Signals in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for quantitative development.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your Python and C++ expertise. Whether it's trading algorithms or data analysis, having tangible examples will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and statistical methods. Practice coding challenges and be ready to discuss how you've applied these skills in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it shows you're serious about joining our team and makes it easier for us to find your application.
We think you need these skills to ace Quant Developer: Build Scalable Trading Signals in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and C++. We want to see how you've used these languages in your previous roles, especially in building software systems or handling large datasets.
Tailor Your Application: Don’t just send a generic CV. Tailor your application to reflect the specific requirements of the Quant Developer role. Mention any relevant projects or experiences that align with trading-signal research.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
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 Vertus Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to trading signals or algorithm implementation.
✨Understand the Financial Landscape
Familiarise yourself with the basics of trading strategies and how quantitative analysis plays a role in them. This will help you engage in meaningful conversations with researchers and traders during the interview.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving abilities. Practice coding challenges and be prepared to explain your thought process clearly, as this will showcase your analytical skills.
✨Showcase Your Teamwork Skills
Since you'll be working closely with researchers and traders, highlight any past experiences where you've collaborated effectively in a team. Share examples that demonstrate your ability to communicate complex ideas simply and work towards common goals.
