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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 City of 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 City of 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 insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative research projects or any relevant work. This will help us demonstrate our expertise and passion for the role during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for quantitative researchers. We should be ready to discuss our mathematical models and how we approach problem-solving in finance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in being part of the Xantium team.
We think you need these skills to ace Researchers in City of 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 relevant experience!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Mention specific techniques or projects that relate to the job description, especially those involving machine learning or quantitative trading models. It shows us you’re genuinely interested!
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 directly 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 with advanced mathematical concepts and statistics. 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 role.
✨Showcase Your Machine Learning Knowledge
Since machine learning techniques are a big part of the job, 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 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.