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- Tasks: Develop and enhance FX Options platforms with innovative algorithms.
- Company: Global Brokerage experiencing rapid growth and market expansion.
- Benefits: Competitive salary up to £130k, bonuses, and hybrid working.
- Why this job: Join a focused team and make an impact in the finance tech space.
- Qualifications: Strong Python skills and knowledge of FX products required.
- Other info: Exciting opportunities for career advancement in a dynamic environment.
The predicted salary is between 78000 - 104000 £ per year.
Oliver Bernard has partnered again with a Global Brokerage, which is growing its team due to continued growth and an increase in market share. You will join a small, highly-focused team responsible for creating and improving key products used across the business.
Key responsibilities will include:
- Working on the FX Options platform
- Understanding risk requirements and turning them into executable algorithms
- Researching and developing solutions for existing and new problems
Key skills and experience:
- Strong knowledge of FX products
- Knowledge of linear programming methods
- Understanding of statistical, stochastic, and volatility models
- Strong programming skills in Python
- Bachelor's or Master's degree in Mathematics, Financial Mathematics, Physics, Computer Science, or other quantitative fields
Hybrid working - 4 days a week required in Canary Wharf. Pays up to £130k + bonus & benefits.
Quantitative Developer - Python in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard 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 people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to FX products or algorithms. 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 knowledge of linear programming and statistical models. We recommend practicing coding challenges and mock interviews to boost your confidence and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our growing 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 highlights your experience with FX products and Python programming. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
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 in mathematics or computer science makes you a great fit for our team.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex problems using statistical or stochastic models. We love seeing how you approach challenges and develop solutions!
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 Oliver Bernard
✨Know Your FX Products
Make sure you brush up on your knowledge of FX products before the interview. Be prepared to discuss how they work and their implications in the market. This will show that you understand the core of what the role entails.
✨Showcase Your Python Skills
Since strong programming skills in Python are crucial for this position, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to algorithms and data structures.
✨Understand Risk and Algorithms
Familiarise yourself with risk requirements and how to translate them into executable algorithms. Prepare examples from your past experience where you've tackled similar challenges, as this will highlight your practical understanding.
✨Research Statistical Models
Brush up on statistical, stochastic, and volatility models. Be ready to discuss how these models apply to FX options and any relevant projects you've worked on. This will demonstrate your analytical skills and ability to contribute to the team.
