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For Companies At a Glance
- Tasks: Analyse data and develop pricing models for unique 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 finance.
- Why this job: Join a dynamic team and make an impact in asset pricing.
- Qualifications: Master's or Ph.D. in relevant fields with strong Python skills.
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 employer: PIMCO
Contact Detail:
PIMCO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst - Pricing & Modeling
✨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 chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got strong Python coding abilities, consider creating a portfolio of projects that demonstrate your asset pricing experience. Share this on GitHub or your personal website to catch the eye of recruiters.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Brush up on your quantitative analysis techniques and be ready to discuss your past experiences in detail. Practise common interview questions related to pricing models and data analysis to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team at Pimco.
We think you need these skills to ace Quantitative Research Analyst - Pricing & Modeling
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. We love seeing candidates who take the time to align their experiences with what we’re looking for, especially in quantitative analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for quantitative research and how your previous roles have prepared you for this position. Keep it engaging and relevant!
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 shows us you’re keen on joining our collaborative team!
How to prepare for a job interview at PIMCO
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python coding, as it's a key requirement for the role. Review your past projects and be ready to discuss how you've used Python in data analysis and model development.
✨Know Your Asset Pricing Models
Familiarise yourself with various asset pricing models and be prepared to explain them. Think about how you can apply these models to bespoke transactions, as this will show your understanding of the role's responsibilities.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis and valuations. Practice explaining complex concepts clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Show Your Collaborative Spirit
Since the role involves working within a team, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to contribute to a collaborative environment, which is crucial for developing robust pricing frameworks.