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

JR United Kingdom

Slough

On-site

GBP 50,000 - 85,000

Full time

4 days ago
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Job summary

A leading multi-strat quantitative investment firm in Slough is seeking a Quantitative Researcher specialized in deep learning. This role involves developing advanced trading strategies and requires expertise in Python, R, and machine learning. Candidates with financial services background are preferred, offering a strong performance-based compensation package within a top-tier fund.

Qualifications

  • Prior experience in financial services, particularly in a fund.
  • Strong background in machine learning or related fields.
  • Proficiency in Python/R and deep learning frameworks (PyTorch or TensorFlow).

Responsibilities

  • Collaborate with asset class experts to develop trading signals.
  • Enhance trading strategies through advanced machine learning models.

Skills

Machine Learning
Deep Learning
Python
R

Job description

Social network you want to login/join with:

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

Client:

Saragossa

Location:

Slough, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

We are seeking a Quantitative Researcher with expertise in deep learning to join a leading multi-strat quantitative investment firm based in Slough. The firm is expanding its research team as part of a broader growth strategy, aiming to enhance their trading strategies through advanced machine learning models.

You will collaborate with a team of asset class experts and develop high-quality signals for trading strategies. The role offers a performance-based salary and compensation structure aligned with the success of your models and the firm's overall performance.

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

This is an excellent opportunity to work at a top-tier systematic multi-strat fund with a collaborative environment, despite its large size and growth trajectory.

If interested, please get in touch to discuss further details and your compensation expectations.

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