At a Glance
- Tasks: Perform data analysis and enhance trading analytics in a collaborative team.
- Company: Leading financial services firm in London with a focus on innovation.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engage with trading and investment teams in a supportive environment.
- Why this job: Join a dynamic team to make impactful contributions in trading research.
- Qualifications: PhD preferred, 4+ years in trading research, strong Python or R skills.
The predicted salary is between 72000 - 108000 £ per year.
A leading financial services firm in London is looking for a Quantitative Researcher in Trading Research to perform data analysis and enhance analytics in a collaborative team. This role requires expertise in market microstructure and advanced degrees, ideally a PhD.
The candidate should have over 4 years of experience in trading research, strong coding skills in Python or R, and the ability to work independently while engaging with trading and investment teams. Hybrid work model offers flexibility and collaboration.
FX Quantitative Researcher - Trading Research, VP (London) employer: more. As
As a leading financial services firm in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from a hybrid work model that promotes flexibility while providing ample opportunities for professional growth and development within the trading research domain. Join us to be part of a team that values expertise and creativity, making a meaningful impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land FX Quantitative Researcher - Trading Research, VP (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading research field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python or R. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on market microstructure concepts and recent trends in trading research. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with opportunities that match your skills and experience. Plus, it shows you're serious about joining our team.
We think you need these skills to ace FX Quantitative Researcher - Trading Research, VP (London)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your coding skills in Python or R right from the get-go. We want to see how your expertise in data analysis can enhance our trading research, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention your experience in market microstructure and how it aligns with what we’re looking for. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your thought process without getting lost in complex language.
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’s super easy!
How to prepare for a job interview at more. As
✨Know Your Market Microstructure
Make sure you brush up on your understanding of market microstructure. Be prepared to discuss how it impacts trading strategies and analytics. Having real-world examples or case studies ready can really impress the interviewers.
✨Show Off Your Coding Skills
Since strong coding skills in Python or R are essential, be ready to demonstrate your proficiency. You might be asked to solve a coding problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Collaborate Like a Pro
This role involves working closely with trading and investment teams, so highlight your collaborative experiences. Share specific instances where you successfully worked in a team to solve complex problems or enhance analytics.
✨Prepare for Technical Questions
Expect technical questions related to quantitative research and trading. Review key concepts and methodologies relevant to the role. Practising mock interviews with a friend or mentor can help you articulate your thoughts clearly under pressure.
