Machine Learning Quantitative Researcher

NLP PEOPLE; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading proprietary trading firm is seeking a Machine Learning Quantitative Researcher to design and deploy innovative models that enhance trading strategies. This role requires expertise in ML frameworks like PyTorch and TensorFlow, a strong analytical mindset, and the ability to work collaboratively in a fast-paced environment. Candidates should have an advanced degree and relevant experience in financial datasets.

Qualifications

• At least 3 years of experience building and deploying ML models.
• Strong programming expertise in Python and/or C++.
• Deep learning experience in forecasting and optimization.

Responsibilities

• Design, build, and deploy deep-learning models.
• Collaborate with multidisciplinary teams to refine models.
• Develop scalable research pipelines.

Skills

Deep learning

Predictive insights from data

Python programming

Collaborative mindset

Education

Advanced degree in Machine Learning or related field

Tools

PyTorch

TensorFlow

Job description

Overview

Role: Machine Learning Quantitative Researcher

Location: London / Dublin

Venture Search has partnered with a leading global proprietary trading firm known for its decades of experience, advanced use of technology, quantitative research, and market innovation. Our partner is expanding their Machine Learning division and seeking exceptional researchers to join their teams in London and Dublin.

Responsibilities

• Design, build, and deploy deep-learning-based models to forecast market behaviour and enhance trading strategies.
• Collaborate closely with researchers, engineers, and traders to refine models and explore innovative algorithmic solutions.
• Develop scalable end-to-end research pipelines and conduct experiments using modern ML frameworks.
• Apply scientific methods to translate large, complex datasets into actionable trading signals.
• Work with engineering teams to integrate your research into live production systems.

Qualifications

• An advanced degree in Machine Learning, Computer Science, Statistics, or a related quantitative discipline—or equivalent research-driven professional experience.
• At least 3 years of experience building and deploying ML models, especially for time-series financial datasets.
• Demonstrated ability to derive predictive insights from large-scale data.
• Strong programming expertise in Python and/or C++, with hands-on experience using ML frameworks like PyTorch or TensorFlow in production settings.
• Deep learning experience applied to forecasting, signal generation, and optimization.
• Robust foundations in mathematics, statistics, and algorithmic thinking, coupled with exceptional analytical problem-solving skills.
• A collaborative mindset with the ability to contribute meaningfully in multidisciplinary research-engineering-trading settings.
• A passion for solving complex problems and delivering measurable impact in fast-paced financial environments.

Company

Venture Search

Tags

Industry, Machine Learning, NLP, United Kingdom