Deep Learning Engineer - Quant Trading

You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets.

As a Deep Learning Engineer you will design, develop and deploy advanced deep learning models to tackle some of the most complex problems in global energy markets, applying cutting-edge neural network and deep learning techniques across diverse and challenging data sets.

You'll combine deep technical expertise in neural networks and deep learning with practical experience delivering models end-to-end, from research to production, in a high-performance environment. Your work will directly impact trading decisions, turning sophisticated models into actionable insights.

• You have an excellent academic record of achievement; 2.1 or above in a quantitative discipline at BSc, from a Russel Group university
• You have strong hands-on experience building and shipping deep learning models in production, including ownership of end-to-end pipelines
• You have strong Python skills
• You have experience with deep learning tools such as TensorFlow Lattice (TFL), OptNet, DeepXDE
• You have a strong understanding of statistics and Machine Learning fundamentals
• You have experience of working with large, messy datasets
• You're collaborative with great communication skills

• Up to £150k + bonus
• Pension (8% non-contributory)
• Private Medical Insurance
• Life Assurance
• Training and career development opportunities
• Employee Assistance Programme
• Company retreats such as Winter skiing trips and Summer weekends away