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For Companies At a Glance
- Tasks: Build data-driven solutions for risk analytics in equity derivatives.
- Company: Leading global hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Why this job: Make a real impact in finance using cutting-edge technology.
- Qualifications: 5+ years in Python, cloud infrastructure, and system design.
- Other info: Fast-paced environment with excellent growth potential.
The predicted salary is between 48000 - 72000 £ per year.
Our client, a leading global hedge fund, is seeking a Quantitative Developer (Python) to join their Risk Technology team. This role offers the opportunity to work at the intersection of portfolio management, risk management, and quantitative research, building high-impact, data-driven solutions that shape risk analytics for equity derivatives businesses.
What You'll Do
- Partner with risk managers and portfolio teams to design and deliver risk analytics solutions for equity derivatives.
- Build data ingestion pipelines and analytical tools to turn complex data into actionable insights.
- Develop cloud-native, data-intensive applications leveraging AWS and modern Python frameworks.
- Rapidly prototype and enhance risk metrics in close collaboration with stakeholders.
- Contribute to system design, architecture, and data modeling.
- Mentor junior developers and foster a culture of technical excellence and collaboration.
What We're Looking For
- 5+ years' experience in Python and its scientific libraries (e.g. pandas, NumPy, SciPy).
- Strong understanding of cloud infrastructure (AWS preferred; Azure/GCP also welcome).
- Proven experience in system design and data modelling for scalable applications.
- Solid grasp of relational databases and SQL optimisation.
- Comfort with Unix/Linux environments and command-line workflows.
- Exposure to quantitative finance or equity derivatives is a strong plus.
- Self-driven, detail-oriented, and able to thrive in a fast-paced environment.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Engineering, and Finance
Quantitative Developer - Python in London employer: AAA Global
Contact Detail:
AAA Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 Python projects, especially those related to quantitative finance or risk analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data modelling and system design. Practice common interview questions and consider mock interviews to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 highlights your experience with Python and its scientific libraries. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Quantitative Developer role and how your background in risk management and quantitative finance makes you a great fit for us.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud infrastructure like AWS and your familiarity with data modelling. We love seeing candidates who can demonstrate their technical prowess and problem-solving abilities.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at AAA Global
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the scientific libraries like pandas, NumPy, and SciPy. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Cloud Infrastructure
Since the role involves working with AWS, it’s crucial to have a solid understanding of cloud infrastructure. Familiarise yourself with AWS services relevant to data-intensive applications and be prepared to discuss how you've leveraged cloud solutions in your previous work.
✨Showcase Your System Design Skills
Be ready to talk about your experience in system design and data modelling. Prepare examples of scalable applications you've built, focusing on the architecture and how you optimised performance. This will demonstrate your ability to contribute effectively to the team.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of relational databases and SQL optimisation. Brush up on your command-line skills in Unix/Linux environments, as this is likely to come up. Practising coding problems can also help you feel more confident during the interview.
