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- Tasks: Develop machine learning models for trading strategies and create high-quality signals.
- Company: Global investment manager with a collaborative culture and top-tier performance.
- Benefits: Performance-based salary, competitive compensation, and growth opportunities.
- Why this job: Join a leading fund and make an impact with innovative trading strategies.
- Qualifications: Experience in financial services, strong machine learning background, and proficiency in Python/R.
- Other info: Dynamic environment with a focus on collaboration and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
This global investment manager hires asset class experts to grow and manage risk. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals.
You will be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod-shop based, a rare find for an investment firm of this calibre.
You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required.
Salary and total compensation is purely based on performance of your models and the overall business – we can discuss your comp requirements in depth when you get in touch.
Machine Learning and Quantitative Analyst in City of London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning and Quantitative Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at firms you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and trading strategies. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, R, and deep learning frameworks like PyTorch or TensorFlow. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Machine Learning and Quantitative Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and quantitative analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background fits into our collaborative environment. Let us know what makes you tick!
Showcase Your Technical Skills: Since we’re looking for proficiency in Python/R and deep learning frameworks, make sure to mention any relevant projects or experiences. If you've built models or worked with PyTorch or TensorFlow, we want to hear about it!
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 Saragossa
✨Know Your Models
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Brush Up on Python/R
Since proficiency in Python or R is a must, ensure you're comfortable with coding during the interview. Practice writing snippets or solving problems on the spot. It’s a great way to demonstrate your technical skills and confidence.
✨Understand the Fund's Strategy
Research the specific strategies employed by the fund. Knowing their approach to risk management and trading will help you tailor your answers and show that you’re genuinely interested in their work. It also gives you a chance to ask insightful questions.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, especially since the firm values a collaborative structure. Think of examples from your past experiences where you successfully worked in a team, highlighting your contributions and the outcomes.