Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance pricing models for derivatives using Python.
- Company: Leading consulting firm in Greater London with a focus on innovation.
- Benefits: Flexible working hours, private medical cover, and a supportive work environment.
- Why this job: Join a dynamic team and apply your skills to real-world financial challenges.
- Qualifications: Degree in a relevant field and experience with large codebases required.
- Other info: Great opportunity for career growth in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading consulting firm in Greater London is looking for an experienced Python Developer with a solid understanding of derivative pricing. Candidates should hold a degree in a relevant field and have experience with large codebases. This role emphasizes strong analytical skills, excellent communication abilities, and familiarity with software engineering practices. The company offers a range of benefits including flexibility and private medical cover.
Quant Developer — Hybrid (Derivatives & Models) employer: PwC
Contact Detail:
PwC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer — Hybrid (Derivatives & Models)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to derivatives and models, and don’t be shy about asking for introductions to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to derivative pricing. This will give you an edge and demonstrate your hands-on experience with large codebases.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical skills. Be ready to discuss your problem-solving approach and how you’ve tackled complex coding challenges in the past. Practice common interview questions related to software engineering practices.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Quant Developer — Hybrid (Derivatives & Models)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and derivative pricing. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had.
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 background makes you a perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Analytical Skills: Since this role emphasises strong analytical skills, include examples in your application that demonstrate your problem-solving abilities. We want to know how you approach complex challenges, especially in coding and model development.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at PwC
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to derivative pricing. Be prepared to discuss your experience with large codebases and how you've tackled challenges in previous projects.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and logically.
✨Communicate Effectively
Since excellent communication is key for this role, practice articulating complex concepts in simple terms. Think about how you can explain your past projects and technical decisions to someone without a technical background.
✨Familiarise Yourself with Software Engineering Practices
Brush up on best practices in software engineering, such as version control and testing methodologies. Be ready to discuss how you’ve applied these practices in your work to ensure high-quality code.
