Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop machine learning models for trading strategies and create high-quality signals.
- Company: Join a top-tier global investment manager with a collaborative culture and rapid growth.
- Benefits: Enjoy performance-based compensation and the chance to work in a dynamic, innovative environment.
- Why this job: Be part of a leading firm with a strong reputation and significant impact in the finance world.
- Qualifications: Experience in financial services, machine learning, and proficiency in Python/R required.
- Other info: No up-to-date CV needed; just bring your passion and skills!
The predicted salary is between 43200 - 72000 £ per year.
Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk.
You’re going to be part of headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals.
You'll 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.
Want to join? Get in touch. 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. No up-to-date CV required.
Quantitative Researcher at one of the most well-paid multi-strat Quant firms employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher at one of the most well-paid multi-strat Quant firms
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and quantitative finance. Being able to discuss recent advancements or case studies during your conversations can really set you apart from other candidates.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those who work at multi-strat funds. Attend industry conferences or webinars where you can meet potential colleagues and learn more about their experiences.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python or R through practical examples. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop machine learning models.
✨Tip Number 4
Research the specific firm’s culture and values. Understanding their collaborative approach will help you articulate how you can contribute to their team dynamics and align with their goals during discussions.
We think you need these skills to ace Quantitative Researcher at one of the most well-paid multi-strat Quant firms
Some tips for your application 🫡
Tailor Your CV: Even though an up-to-date CV is not required, it's still a good idea to tailor your CV to highlight your experience in financial services and machine learning. Focus on relevant projects and skills, especially in Python/R and deep learning frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and your understanding of the firm's collaborative culture. Mention specific experiences where you've successfully developed machine learning models or trading strategies.
Highlight Relevant Experience: In your application, emphasise any prior experience you have in a fund or financial services. Discuss your contributions to projects involving machine learning and how they relate to trading strategies, as this will resonate with the hiring team.
Showcase Your Technical Skills: Make sure to clearly outline your technical skills in Python/R and any experience with deep learning frameworks. Providing examples of projects or results achieved using these technologies can strengthen your application.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and R during the interview. Be prepared to discuss specific projects where you've used deep learning frameworks like PyTorch or TensorFlow, as this will demonstrate your hands-on experience.
✨Understand the Firm's Strategy
Research the firm's investment strategies and recent performance. Being able to discuss how your skills can contribute to their multi-strat approach will show that you're genuinely interested and have done your homework.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will help interviewers gauge your analytical skills and how you approach complex challenges.
✨Emphasise Collaboration
Since the firm values a collaborative environment, be ready to share examples of how you've successfully worked in teams. Highlight your ability to communicate effectively and contribute to group projects, as this aligns with their culture.
