Durlston Partners
Deep Learning Quantitative Researcher
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We’re working with a leading quantitative trading firm looking to hire a talented Deep Learning Quantitative Researcher to join their research team. This is an opportunity to apply cutting-edge machine learning and deep learning techniques to financial markets, working alongside experienced quantitative researchers, traders and engineers.
The Role
You’ll be responsible for researching and developing systematic trading strategies using large and complex financial datasets. Your work may include:
- Developing deep learning models for financial prediction and signal generation
- Researching new machine learning techniques and applying them to market data
- Working with large-scale, high-frequency and alternative datasets
- Designing and running statistical experiments and backtests
- Developing predictive signals and systematic trading strategies
- Improving model performance, robustness and generalisation
- Collaborating closely with quantitative researchers, traders and engineers
- Taking research ideas from initial hypothesis through to production
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What We're Looking For
- Strong academic background in Machine Learning, Deep Learning, Mathematics, Statistics, Computer Science, Physics or a related field
- Strong research experience with deep learning / neural networks
- Excellent Python skills and experience with frameworks such as PyTorch or TensorFlow
- Strong understanding of statistics, probability and machine learning
- Experience working with large datasets and running computational experiments
- Strong research mindset and ability to investigate problems independently
- Excellent mathematical and analytical skills
- Experience applying machine learning to financial markets is highly desirable, but not essential. We’re particularly interested in candidates with exceptional research backgrounds who are excited about applying their expertise to quantitative finance.
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Why Join?
- Work at the intersection of AI, deep learning and quantitative finance
- Apply cutting-edge ML research to real-world financial markets
- Access to significant datasets and computational resources
- Work alongside some of the strongest researchers, quants and engineers in the industry
- Highly collaborative and intellectually challenging environment
- Competitive compensation, including performance-related bonus
If you’re a deep learning researcher interested in applying your work to financial markets, get in touch for a confidential conversation.
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