Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy models that impact live trading and revenue.
- Company: Top-tier trading firm in London with a focus on innovation.
- Benefits: Dynamic environment, significant funding, and growth opportunities.
- Why this job: Make a real impact in trading while enhancing your quantitative skills.
- Qualifications: Strong Python skills and experience in rates markets research.
- Other info: Performance-driven culture with exciting career advancement potential.
The predicted salary is between 60000 - 80000 £ per year.
A leading top-tier trading firm in London is seeking a Quantitative Researcher to enhance their electronic rates desk. The role involves developing and deploying models that influence live trading and revenue, with a focus on scalability and performance.
Candidates should have strong Python skills and experience in systematic research within rates markets. This position offers a dynamic, performance-driven environment with significant new funding and opportunities for growth.
Electronic Rates Quant – Live PnL Impact, London employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Electronic Rates Quant – Live PnL Impact, London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and quant space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got some cool Python projects or models, don’t hesitate to share them. A portfolio can really make you stand out in a competitive field.
✨Tip Number 3
Prepare for those interviews! Brush up on your systematic research knowledge and be ready to discuss how your work can impact live trading. Confidence is key!
✨Tip Number 4
Apply through our website! We’re always looking for talented individuals to join us, and applying directly can give you an edge. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace Electronic Rates Quant – Live PnL Impact, London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in systematic research within rates markets. Don't hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for candidates who understand the electronic rates desk and can demonstrate their knowledge of live trading and revenue impact.
Quantify Your Achievements: When discussing your previous experiences, try to include specific metrics or outcomes. We love numbers! Show us how your contributions have made a difference in past roles, especially in a performance-driven environment.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Stanford Black Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python to develop models, especially in a trading context. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand the Rates Market
Familiarise yourself with the current trends and challenges in the rates markets. Being able to discuss recent developments or how certain events have impacted trading will show that you're not just technically skilled but also knowledgeable about the industry.
✨Prepare for Systematic Research Questions
Expect questions that delve into your experience with systematic research. Be prepared to explain your methodology, the tools you used, and how your research has influenced trading decisions. Having concrete examples will make your answers more compelling.
✨Show Your Growth Mindset
This role offers significant opportunities for growth, so be ready to discuss how you approach learning and development. Share examples of how you've adapted to new challenges in the past and express your enthusiasm for continuous improvement in a performance-driven environment.