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- Tasks: Research and develop mathematical models for investment opportunities in global markets.
- Company: Xantium, a leader in quantitative research with a collaborative culture.
- Benefits: Gain hands-on experience with senior experts and access to diverse datasets.
- Why this job: Make an impact in finance while honing your skills in machine learning and data analysis.
- Qualifications: PhD or strong math background; passion for quantitative research is key.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Researchers at Xantium are responsible for researching and developing mathematical models used to identify investment and trading opportunities in the global financial markets. The process is collaborative, involving direct access to and guidance from senior quantitative portfolio managers and engineers with years of experience across all major markets. Our Quantitative Researchers learn a range of skills including various research techniques, how to work with different types of data, markets and asset classes.
Examples of responsibilities include:
- Analyzing and evaluating financial and alternative datasets
- Researching existing and developing new techniques in machine learning
- Researching, developing and implementing quantitative trading signals/models
- Developing and maintaining modeling infrastructure
- Supporting production trading operations
Quantitative Researcher applicants should have a PhD (or equivalent) that involved intense mathematics or statistics. We may consider candidates without PhDs, provided they can demonstrate strong competitive math backgrounds and strong academic records.
Researchers in London employer: Xantium Group - Tudor Investment Corporation
Contact Detail:
Xantium Group - Tudor Investment Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researchers in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Xantium on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative research projects. This will not only demonstrate your expertise but also give us something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges or case studies. We want to see how you think and solve problems in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the team at Xantium.
We think you need these skills to ace Researchers in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical and statistical expertise in your application. We want to see how your background aligns with the responsibilities of a Quantitative Researcher, so don’t hold back on showcasing your skills!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Mention specific experiences that relate to analysing financial datasets or developing quantitative models. This shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Xantium Group - Tudor Investment Corporation
✨Brush Up on Your Maths Skills
Make sure you’re comfortable discussing complex mathematical concepts and statistical methods. Review your PhD work or any relevant projects that showcase your quantitative skills, as you might be asked to explain your thought process during the interview.
✨Know Your Data
Familiarise yourself with different types of financial and alternative datasets. Be prepared to discuss how you’ve used data in past research and how you would approach analysing new datasets in the context of investment opportunities.
✨Showcase Your Machine Learning Knowledge
Since machine learning techniques are crucial for this role, be ready to talk about any relevant projects or research you've done. Highlight specific algorithms you’ve worked with and how they can be applied to develop trading signals or models.
✨Prepare for Collaborative Scenarios
As the role involves working closely with senior portfolio managers and engineers, think of examples where you’ve successfully collaborated in a team. Be ready to discuss how you handle feedback and contribute to group projects, as teamwork is key in this environment.