At a Glance
- Tasks: Implement pricing models and develop numerical methods for derivatives valuation.
- Company: Join Schonfeld, a leading firm in quantitative research and analytics.
- Benefits: Gain hands-on experience and network with senior quants in a dynamic environment.
- Why this job: Make an impact on trading decisions while enhancing your skills in a fast-paced setting.
- Qualifications: PhD candidates with a strong background in quantitative research and analytics.
The predicted salary is between 22500 - 27500 £ per year.
Schonfeld is seeking exceptional Ph D candidates to join our Quant Resource team in the London metro area, working with Quant Researchers and Quant Developers on pricing and analytics infrastructure.
In this 10-week internship, you will implement pricing models, develop numerical methods for derivatives valuation, and contribute to production-grade analytics libraries that power trading decisions across asset classes.
Networking with senior quants included.
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Quant Research Intern – Pricing & Analytics (PhD) in London employer: Schonfeld
At Schonfeld, we pride ourselves on being an exceptional employer that invests in the growth and development of our interns. Located in the vibrant city of London, our DMFI Risk Analyst Summer Internship offers a unique opportunity to work alongside industry leaders, engage in meaningful projects, and develop valuable skills in a supportive and collaborative environment. With a strong focus on innovation and teamwork, we empower our interns to make a real impact while fostering a culture of continuous learning and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Research Intern – Pricing & Analytics (PhD) in London
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We think you need these skills to ace Quant Research Intern – Pricing & Analytics (PhD) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Schonfeld. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Schonfeld
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
