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 a dynamic work environment with no need for an up-to-date CV.
- Other info: Opportunity to grow within a rapidly expanding team of over 1000 professionals.
- Why this job: Be part of a leading firm in the finance sector, working on innovative projects with real impact.
- Qualifications: Experience in financial services, strong machine learning background, and proficiency in Python/R required.
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 in Slough employer: Saragossa
As a leading name in wealth management, this company offers an exceptional work environment where you can engage in one of the most significant transformation programmes in the industry. With a focus on employee growth and development, you will have the opportunity to work on diverse projects that provide end-to-end exposure, all while collaborating with senior stakeholders in a dynamic and supportive culture. The long-term nature of the programme ensures that you are not just a temporary fix but a vital part of a transformative journey, making your contributions meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher at one of the most well-paid multi-strat Quant firms in Slough
✨Tip Number 1
Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with people who work at similar firms. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your machine learning projects on platforms like GitHub. Having a portfolio of your work can demonstrate your skills in Python/R and deep learning frameworks. Make sure to highlight any trading strategies or models you've developed.
✨Tip Number 3
Stay updated on the latest trends in quantitative research and machine learning. Follow relevant blogs, podcasts, and publications to discuss these topics during interviews. This shows your passion and commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to finance. Familiarise yourself with common quantitative problems and be ready to explain your thought process clearly.
We think you need these skills to ace Quantitative Researcher at one of the most well-paid multi-strat Quant firms in Slough
Some tips for your application 🫡
Tailor Your CV:Even though an up-to-date CV isn't 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 that align with the role.
Highlight Technical Skills:Make sure to emphasise your proficiency in Python/R and any experience you have with deep learning frameworks like PyTorch or TensorFlow. Provide specific examples of how you've used these tools in previous roles.
Showcase Collaboration Experience:Since the firm values collaboration, include examples of how you've worked effectively in teams, particularly in developing trading strategies or machine learning models. This will demonstrate your ability to fit into their collaborative structure.
Express Your Passion:In your application, convey your enthusiasm for quantitative research and the financial industry. Share what excites you about the opportunity to work with a top-tier multi-strat fund and how you can contribute to their success.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and R, as well as your experience with deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects you've worked on that demonstrate your ability to develop machine learning models.
✨Understand the Firm's Strategy
Research the firm's investment strategies and recent performance. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and understand the business.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will be crucial in demonstrating your analytical skills during the interview.
✨Emphasise Collaboration
Since the firm values a collaborative environment, be ready to discuss your experiences working in teams. Highlight instances where you contributed to group projects or collaborated with others to achieve a common goal.
