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- Tasks: Collaborate with Quant Researchers to evaluate datasets using Machine Learning and NLP.
- Company: Leading Quant Trading firm with a focus on innovation.
- Benefits: Competitive salary, bonus, pension, and additional perks.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Strong Python skills, mathematical background, and experience in NLP.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 129000 - 171000 £ per year.
A leading Quant Trading firm are looking to hire a Data Scientist within their Cross Asset Data Quant team. You'd be collaborating directly with Quant Researchers and Data Engineering teams, working directly with Machine Learning and Statistical Methods to evaluate new datasets. Your remit will also include working across the full data science suite, working across data exploration and acquisition, utilising methods like NLP.
Responsibilities
- Collaborate directly with Quant Researchers and Data Engineering teams to evaluate new datasets using Machine Learning and Statistical Methods.
- Work across the full data science suite, including data exploration and data acquisition.
- Utilise NLP and other data-driven methods as part of dataset evaluation and feature extraction where appropriate.
Qualifications
- Very strong Python experience
- A strong mathematical background
- Background in NLP
- Knowledge of data manipulation and exploration in a quantitative setting
- Experience working in a Front Office environment
If this sounds like a great fit, please apply through this advert.
Data Scientist - Cross Asset - Quant Trading Firm employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Cross Asset - Quant Trading Firm
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at quant trading firms. A friendly chat can lead to insider info and even referrals that could get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Machine Learning and NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and statistical methods. Practice coding challenges and be ready to discuss your thought process when solving problems. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team. Let’s make it happen!
We think you need these skills to ace Data Scientist - Cross Asset - Quant Trading Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your mathematical background and NLP knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position and how your experience makes you a perfect fit for our Cross Asset Data Quant team. Keep it engaging and personal!
Showcase Relevant Experience: When detailing your past roles, focus on experiences that relate to data exploration, acquisition, and working in a Front Office environment. We love seeing how you’ve used Machine Learning and Statistical Methods in real-world scenarios.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Vertus Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used, especially in relation to data manipulation and machine learning. Practising coding challenges can also help you demonstrate your proficiency.
✨Brush Up on Your Maths
Since a strong mathematical background is crucial for this role, review key concepts that are relevant to data science and quantitative analysis. Be prepared to explain how you've applied these concepts in past projects or roles, particularly in a trading context.
✨Familiarise Yourself with NLP Techniques
Given the emphasis on NLP in the job description, make sure you understand the latest techniques and tools in natural language processing. Be ready to discuss any projects where you've implemented NLP methods and how they contributed to your data evaluation processes.
✨Understand the Front Office Environment
Since experience in a Front Office environment is mentioned, it’s important to understand the dynamics of such settings. Be prepared to talk about how your work as a Data Scientist can impact trading decisions and collaborate effectively with Quant Researchers and Data Engineers.
