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For Companies At a Glance
- Tasks: Analyse data and develop pricing models for bespoke transactions.
- Company: Pimco, a leading firm in asset management.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Ideal for those seeking to advance their career in quantitative research.
- Why this job: Join a dynamic team and make an impact in asset pricing and analysis.
- Qualifications: Master's or Ph.D. in Mathematics, Physics, or related field with Python expertise.
The predicted salary is between 60000 - 80000 £ per year.
Pimco in the City of Westminster seeks a highly skilled quantitative analyst with strong Python coding and asset pricing experience. Responsibilities include performing valuations through data analysis and developing pricing models for bespoke transactions.
Candidates should possess a Master's degree or Ph.D. in Mathematics, Physics, or a relevant field and have at least 3 years of experience in a front-office role. Familiarity with SQL and Linux is a plus.
Join a collaborative team to contribute to robust pricing frameworks and asset analysis.
Quantitative Research Analyst - Pricing & Modeling in London employer: PIMCO
Contact Detail:
PIMCO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst - Pricing & Modeling in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis space. Use platforms like LinkedIn to connect with people at Pimco or similar firms. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python coding projects, especially those related to asset pricing and data analysis. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by solving quantitative problems and coding challenges. Websites like LeetCode or HackerRank can help you get into the right mindset for those tricky questions.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s a great way to ensure your CV gets seen by the right people and shows your genuine interest in joining our team.
We think you need these skills to ace Quantitative Research Analyst - Pricing & Modeling in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python coding skills and any experience you have with asset pricing. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your CV: Customise your CV to reflect the specific requirements mentioned in the job description. Mention your Master's or Ph.D. and any relevant experience in a front-office role. This helps us see that you’re a perfect fit for our team!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply 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 to do!
How to prepare for a job interview at PIMCO
✨Master Your Python Skills
Make sure you brush up on your Python coding skills before the interview. Be prepared to discuss specific projects where you've used Python for data analysis or model development. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Know Your Valuation Techniques
Familiarise yourself with various asset pricing models and valuation techniques. Be ready to explain how you've applied these in previous roles, especially in a front-office context. Having real-world examples will show your depth of knowledge and practical experience.
✨SQL and Linux Basics
Even if SQL and Linux are not your primary tools, having a basic understanding can set you apart. Brush up on common SQL queries and Linux commands, as this knowledge could come in handy during technical discussions.
✨Show Your Collaborative Spirit
Since the role involves working within a team, be prepared to discuss how you've collaborated with others in past projects. Highlight any experiences where you contributed to a team effort, especially in developing pricing frameworks or conducting asset analysis.