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- Tasks: Develop and maintain investment infrastructure using Python, collaborating with researchers and traders.
- Company: Award-winning systematic hedge fund in London managing over $8 billion in assets.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team and make an impact in the finance tech space.
- Qualifications: 3-8 years of Python development experience and knowledge of SQL and Linux.
- Other info: Exciting opportunity to work on financial analytics and backtesting systems.
The predicted salary is between 36000 - 60000 £ per year.
Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billion of client assets, where technology is an integral part of our business. We are seeking a highly skilled Quantitative Developer to join our team, contributing to the development and maintenance of key investment infrastructure and analytics. This role involves collaborating with quantitative researchers and traders to design and implement scalable solutions, addressing complex business needs related to loading financial data, risk management, and backtesting. You will be working within a dynamic, fast-paced environment, supporting cross-functional teams across multiple investment platforms.
Essential Skills & Experience
- 3-8 years of professional experience in software development, specializing in Python.
- Hands-on experience with continuous integration and delivery systems (e.g., Jenkins, GitLab CI/CD) and a strong understanding of Software Development Life Cycle (SDLC) best practices.
- Knowledge of SQL for database management and query optimization.
- Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling.
Preferred Skills & Experience
- Deep understanding of futures asset classes and their application in systematic trading.
- Experience in developing financial backtesting systems for quantitative strategies.
- Matlab experience is a plus.
Job Responsibilities
- Develop and maintain critical components of the investment infrastructure, including the data interface layer, central risk calculations, and backtesting frameworks utilized by diverse investment teams.
- Work closely with quantitative researchers and traders to engineer robust solutions for business challenges.
- Provide production-level support to key systems, ensuring their continued functionality and reliability.
If this role sounds of interest, we would love to hear from you.
Quantitative Developer - Python in London employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python in London
✨Tip Number 1
Networking is key! Reach out to professionals in the finance and tech sectors, especially those who work at hedge funds. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding financial concepts. Practice coding challenges and be ready to discuss your past projects, especially those related to backtesting and risk management.
✨Tip Number 3
Don’t forget to showcase your soft skills! Being a great team player and communicator is just as important as your technical abilities. Be ready to share examples of how you've collaborated with others in fast-paced environments.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! Make sure to tailor your application to highlight your relevant experience in software development and quantitative analysis. We want to see how you can contribute to our dynamic team!
We think you need these skills to ace Quantitative Developer - Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your Python skills and any relevant experience with financial data, risk management, or backtesting. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects related to software development or quantitative finance, make sure to mention them. We’re interested in seeing real examples of your work, especially if they involve Python or backtesting systems.
Apply Through Our Website: Remember, apply via the link provided in the job description, not the blue button! We want to make sure your application gets to us directly, so don’t skip this step. We can't wait to see what you bring to the table!
How to prepare for a job interview at LGBT Great
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in real-world applications, especially in financial contexts. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Financial Landscape
Familiarise yourself with futures asset classes and their role in systematic trading. Being able to discuss how these concepts apply to the job will show that you're not just a tech whiz but also understand the business side of things. It’s all about connecting the dots between technology and finance.
✨Showcase Your Collaboration Skills
Since this role involves working closely with quantitative researchers and traders, be prepared to talk about your experience in cross-functional teams. Share examples of how you’ve successfully collaborated on projects, highlighting your communication skills and ability to adapt to different team dynamics.
✨Prepare for Technical Questions
Expect technical questions related to software development life cycles, continuous integration, and database management. Brush up on SQL queries and Linux commands, and be ready to explain your approach to deploying scalable solutions using Docker. This will demonstrate your hands-on experience and readiness for the role.
