At a Glance
- Tasks: Design and deploy deep-learning models to enhance trading strategies and forecast market behaviour.
- Company: Join a leading global proprietary trading firm known for innovation and advanced technology.
- Benefits: Enjoy a full-time role with opportunities for collaboration and impactful work in finance.
- Other info: Work in London or Dublin and collaborate with multidisciplinary teams.
- Why this job: Be part of a dynamic team solving complex problems in fast-paced financial environments.
- Qualifications: Advanced degree or equivalent experience in Machine Learning, with strong programming skills in Python or C++.
The predicted salary is between 43200 - 72000 £ per year.
Direct message the job poster from Venture Search
Senior Consultant at Venture Search - Hedge Funds & Proprietary Trading
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 now expanding their Machine Learning division and seeking exceptional researchers to join their teams in London and Dublin.
The Role:
- 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.
What We’re Looking For:
- 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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance
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Machine Learning Quantitative Researcher in London employer: Venture Search
Venture Search is an exceptional employer, offering a vibrant work culture in the heart of London where innovation meets collaboration. As a Junior Associate, you will gain invaluable experience working on high-profile cross-border transactions in the energy and infrastructure sectors, with ample opportunities for professional growth and development alongside seasoned experts. The company values diversity and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Machine Learning Quantitative Researcher in London
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We think you need these skills to ace Machine Learning Quantitative Researcher in London
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
