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- Tasks: Enhance pricing and risk models using Python and collaborate with quantitative researchers.
- Company: Global trading and investment group based in Greater London.
- Benefits: Competitive salary and the chance to shape pricing analytics.
- Why this job: Join a high-performing team and make a real impact in trading.
- Qualifications: 5-10 years of experience and an advanced degree in a quantitative field.
- Other info: Exciting opportunity in a dynamic trading environment.
The predicted salary is between 48000 - 72000 £ per year.
A global trading and investment group based in Greater London is seeking a Quant Developer to enhance pricing and risk models. The role focuses on developing Python libraries and collaborating with quantitative researchers.
Ideal candidates will have:
- 5-10 years of experience
- An advanced degree in a quantitative field
- A strong background in derivatives pricing theory and numerical methods
This role offers the opportunity to shape pricing analytics within a high-performing trading environment.
Quant Developer - Python Pricing & Risk Analytics employer: Lithe Consulting Ltd
Contact Detail:
Lithe Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Python Pricing & Risk Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and investment sector, especially those who work with Python pricing and risk analytics. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python libraries and any projects related to derivatives pricing or numerical methods. This is your chance to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for technical interviews! Brush up on your quantitative skills and be ready to discuss your experience with pricing models. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. It shows you're genuinely interested in joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Quant Developer - Python Pricing & Risk Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant quantitative skills. We want to see how you can enhance our pricing and risk models, so don’t hold back on showcasing your expertise!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quant Developer role. Mention your experience in derivatives pricing theory and numerical methods to show us you’re the perfect fit for the team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our high-performing trading environment!
How to prepare for a job interview at Lithe Consulting Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of pricing and risk analytics. Be prepared to discuss specific libraries you've used and how they relate to derivatives pricing theory.
✨Brush Up on Quantitative Concepts
Since this role requires a strong background in quantitative fields, review key concepts in derivatives pricing and numerical methods. Be ready to explain these concepts clearly and how you've applied them in past projects.
✨Showcase Your Collaboration Skills
This position involves working closely with quantitative researchers, so be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to enhance models or solve complex problems.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of pricing models and risk analytics. Practice coding challenges related to Python and be ready to walk through your thought process during the interview.
