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- Tasks: Develop quantitative models and trading strategies using advanced statistical techniques and machine learning.
- Company: Global trading firm in London with a high-performing team.
- Benefits: Direct exposure to senior quants and significant growth potential.
- Other info: Exciting opportunities for career advancement in a fast-paced industry.
- Why this job: Join a dynamic environment and make an impact in the trading world.
- Qualifications: Strong academic background in Mathematics and programming experience, especially in Python.
The predicted salary is between 60000 - 80000 £ per year.
A global trading firm in London is seeking a talented Quantitative Researcher to join their high-performing team. You will develop quantitative models and trading strategies, applying advanced statistical techniques and machine learning.
The ideal candidate has a strong academic background in Mathematics or related fields and programming experience, particularly in Python. This role offers direct exposure to senior quants and significant growth potential in a dynamic environment.
Quantitative Researcher: ML, NLP & Trading Strategies employer: Fraser & Co. Talent Partners Limited
Contact Detail:
Fraser & Co. Talent Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher: ML, NLP & Trading Strategies
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative research space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models or any relevant projects you've worked on. This is your chance to demonstrate your programming prowess in Python and your understanding of ML and NLP.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical techniques and be ready to discuss your thought process behind your trading strategies. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Quantitative Researcher: ML, NLP & Trading Strategies
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your academic background in Mathematics or related fields. We want to see how your skills in programming, especially in Python, can contribute to developing those quantitative models and trading strategies.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific experiences that relate to machine learning and statistical techniques, as this will make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure your passion for quantitative research shines through!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Fraser & Co. Talent Partners Limited
✨Know Your Maths and Stats
Brush up on your mathematical concepts and statistical techniques. Be ready to discuss how you've applied these in past projects or experiences, especially in relation to machine learning and trading strategies.
✨Show Off Your Python Skills
Prepare to demonstrate your programming prowess in Python. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that showcase your ability to develop quantitative models.
✨Understand the Trading Landscape
Familiarise yourself with current trends in trading and quantitative research. Being able to discuss recent developments or strategies in the market will show your passion and understanding of the field.
✨Engage with Senior Quants
Since this role offers exposure to senior quants, prepare thoughtful questions to ask them. This not only shows your interest but also helps you gauge their expectations and insights into the role and company culture.