11 of 11 Statistical Learning Jobs in London

Quantitative Researcher with Machine Learning experience, Systematic Equities Quantitative Researcher with Machine Learning experience, Systematic Equities Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Job Description Quantitative Researcher, with machine learning experience, as part of a collaborative team based in … alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies Combine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the … investment process Develop and improve sophisticated python-based software tools and libraries for machine learning researches Write and maintain neat, modular code on a jointly owned codebase of significant size and complexity Collaborate with the SPM in a transparent environment, engaging with the whole investment process Preferred Technical Skills Strong research and programming skills in Python and experience working More ❯

right pay - and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment - we encourage you to apply. Remote machine learning roles … hiring grind. You'll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business … Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others More ❯

right pay and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles … typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business … Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others More ❯

masters and experienced software engineers transition into a career in data science through our fellowship programme. The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn … your situation in your application. In general, successful candidates meet the following criteria: A finished PhD or Master's in a STEM subject with some data science/machine learning experience. A high level of mathematical competence. The ability to code or have programming experience, especially in Python. Some experience with theoretical concepts of statistical learning (e.g. More ❯

running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a … culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience. Responsibilities Developing alpha strategies from global cash equities. Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets. Collaborating with the PM, supporting with idea generation, data analysis, and backtesting. Contributing to the research and trading … pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a More ❯

outstanding individuals for a Chair or Readership in Statistics, to start from October 2022, or sooner. The Statistics Section in the Department of Mathematics is committed to research in Statistical Science, broadly interpreted. We undertake rigorous interdisciplinary research, developing methods for applied problems, and the statistical theory underpinning these methods. Expertise in statistical learning, Bayesian, computational … earth, biomathematics, medicine and epidemiology, public policy, energy, finance, and data-centric engineering. The Section offers two MSc programmes, one in Statistics and a new online programme in Machine Learning and Data Science. It also leads the EPSRC-funded Centre for Doctoral Training in Modern Statistics and Statistical Learning (joint with Oxford Statistics and Imperial Computing). More ❯

to deliver high-quality returns. Location: London or Dubai preferred Job Description: We are seeking a quantitative researcher to partner with the Senior Portfolio Manager to implement a machine learning research framework for the systematic trading of global equity strategies. Principal Responsibilities: Work alongside the Senior Portfolio Manager on developing systematic trading strategies, with a primary focus on: Idea … generation Data gathering and research/analysis Model implementation and back testing for systematic global equities strategies Explore, analyze, and harness large financial datasets using a variety of statistical learning techniques Work with multiple vendor data sets: assessing, cleaning, creating features Implement flexible, scalable and efficient machine learning framework using existing features Optimize code for larger scale … work Create new features using additional database (KDB preferred) Preferred Technical Skills: Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Expert in Python (KDB/Q is a plus) Demonstrated knowledge of quantitative More ❯

year Your Key Responsibilities Collaboration with Sales and trading to understand the needs of our client franchise and trading business, Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research Estimate the impact new techniques would have on trading performance Work collaboratively with … and risk models for Macro products Experience with a scripting language for example Python or R for research purposes Experience of handling large amounts of data and application of statistical learning techniques Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q. How we’ll support you Flexible working … to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About Us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named in More ❯

year Your key responsibilities Collaboration with Sales and trading to understand the needs of our client franchise and trading business, Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research Estimate the impact new techniques would have on trading performance Work collaboratively with … and risk models for Macro products Experience with a scripting language for example Python or R for research purposes Experience of handling large amounts of data and application of statistical learning techniques Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q. How we’ll support you Flexible working … to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named in More ❯

year Your key responsibilities Collaboration with Sales and trading to understand the needs of our client franchise and trading business, Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research Estimate the impact new techniques would have on trading performance Work collaboratively with … and risk models for Macro products Experience with a scripting language for example Python or R for research purposes Experience of handling large amounts of data and application of statistical learning techniques Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q. How we’ll support you Flexible working … to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named in More ❯

research agenda, with a primary focus on idea generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies. Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process. Collaboration: Working alongside the SPM and investment team in a highly transparent … this information into actionable insights for strategy development. Highly Valued Skills & Experience: Strong economic intuition and the ability to apply critical thinking to complex financial problems. Previous involvement in statistical arbitrage strategies will be considered highly advantageous. Why Join This Team? This role provides a unique opportunity to work in a fast-paced, intellectually stimulating environment with access to More ❯