Quantitative Researcher at one of the most well-paid multi-strat Quant firms

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a Quantitative Researcher to join their expanding team in London. This role offers the exciting opportunity to develop machine learning models that drive trading strategies in a top-tier systematic multi-strategy fund. With a strong focus on collaboration and innovation, you will be part of a dynamic environment that values your contributions. Ideal candidates will possess a solid background in machine learning and programming skills in Python or R, along with experience in deep learning frameworks like PyTorch or TensorFlow. If you're ready to take your career to the next level in a performance-driven setting, this opportunity is for you.

Qualifications

• Prior experience in financial services, especially within a fund.
• Solid background in machine learning or related fields.

Responsibilities

• Developing machine learning models for trading strategies.
• Generating high-quality signals for investment decisions.

Skills

Machine Learning

Python

R

Deep Learning

PyTorch

TensorFlow

Job description

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Quantitative Researcher at one of the most well-paid multi-strat Quant firms, London

Client:

Saragossa

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

1

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

We are seeking a Quantitative Researcher for a deep learning role within a global investment manager. The firm is expanding its research team by 20%, aiming for a total headcount of over 1000 employees this year.

Your responsibilities will include developing machine learning models for trading strategies and generating high-quality signals. You will work at a top-tier systematic multi-strat fund with a strong track record, growing assets under management, and a collaborative structure that remains unique for a firm of its size.

Ideal candidates will have prior experience in financial services, especially within a fund, with a solid background in machine learning or related fields. Proficiency in Python/R, and experience with deep learning frameworks such as PyTorch or TensorFlow, are required.

If interested, please get in touch. Compensation is performance-based, and we are open to discussing your salary and total package in detail during the application process.