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- Tasks: Build and optimise pricing and risk management infrastructure using Python.
- Company: Leading investment bank in London with a strong reputation.
- Benefits: Competitive salary, great work-life balance, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: Experience in Python, equity derivatives, and quantitative finance.
- Other info: Exciting projects and a collaborative environment await you.
The predicted salary is between 43200 - 72000 £ per year.
I am seeking an experienced Python Quant Developer to join my client who is a leading investment bank based in London. In this role, you will focus on building and optimizing infrastructure for pricing, risk management, and portfolio management.
- Python
- Equities
- Equity Derivatives
- Pricing
- Visual Studio 2017
- Algorithms
- C++
- Quant Finance
- Risk Management
Python Quant Developer - Equity Derivatives employer: Nicoll Curtin
Contact Detail:
Nicoll Curtin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Developer - Equity Derivatives
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that Python Quant Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, especially those related to equity derivatives and risk management. We want to see your algorithms in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews! Brush up on your C++ and algorithm knowledge, as well as your understanding of pricing models. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities for Python Quant Developers. By applying directly, you’ll ensure your application gets the attention it deserves, and we’re here to support you every step of the way.
We think you need these skills to ace Python Quant Developer - Equity Derivatives
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Equities, and Equity Derivatives. 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 passionate about quant finance and how your background in algorithms and risk management makes you a perfect fit for our team.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with Visual Studio 2017 and C++. We love seeing candidates who can demonstrate their technical prowess, so include any relevant coding examples or projects you've worked on.
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 Nicoll Curtin
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to quantitative finance. Be prepared to discuss algorithms and demonstrate your coding abilities, as practical tests may be part of the interview process.
✨Understand Equity Derivatives
Familiarise yourself with equity derivatives and their pricing mechanisms. Being able to explain complex concepts clearly will show your depth of knowledge and help you stand out during discussions.
✨Showcase Your Problem-Solving Skills
Prepare to tackle real-world problems that the investment bank might face. Think about how you would approach risk management and optimisation challenges, and be ready to share your thought process during the interview.
✨Get Comfortable with Visual Studio
Since the role involves using Visual Studio 2017, make sure you're comfortable navigating it. If you have experience with C++, highlight that too, as it can complement your Python skills and show versatility.
