At a Glance
- Tasks: Build innovative pricing models for compute capacity using advanced quantitative methods.
- Company: DRW, a leading diversified trading firm with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to shape transaction structures.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of trading.
- Qualifications: PhD or MSc in a quantitative field and strong Python programming skills.
The predicted salary is between 54000 - 66000 £ per year.
DRW is a diversified trading firm seeking a Quantitative Researcher for Compute Markets.
You will build pricing models for forward and structured transactions on compute capacity, using first principles in data-sparse environments and Monte Carlo methods.
You will collaborate with trading, risk and leadership to shape transaction structures.
Requirements include a Ph D or MSc in a quantitative field, strong Python skills and the ability to defend and revise assumptions as evidence evolves.
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Quant Researcher — Compute Markets Pricing employer: P2P
At Plasma, we pride ourselves on fostering a collaborative and innovative work culture that empowers our engineers to take ownership of their projects. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a commitment to employee growth, making us an excellent employer for those looking to make a meaningful impact in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researcher — Compute Markets Pricing
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We think you need these skills to ace Quant Researcher — Compute Markets Pricing
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 P2P. 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 P2P
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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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.
