1 to 25 of 628 PhD Jobs in London

written, with the ability to engage partners and stakeholders on complex and technical topics with clarityPreferred qualifications, capabilities, and skills:Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer ScienceMarkets experience and familiarity with general trading concepts and terminologyKnowledge of options pricing theory, trading algorithms or financial regulationsExperience with ...

written, with the ability to engage partners and stakeholders on complex and technical topics with clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms ...

of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal ...

come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models ...

model influences what someone pays, the fairness of that model is part of the jobRequirementsWhat you will need to be successfulA Master's or PhD in Data Science, Computer Science, Electrical Engineering, Physics, Mathematics or a related quantitative field though we are equally happy to talk to people with equivalent ...

good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.Hybrid working pattern ...

written, with the ability to engage partners and stakeholders on complex and technical topics with clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms ...

risk management frameworks, policies, and procedures in line with evolving regulatory expectations and industry best practices. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering; or equivalent experience. 3+ years of hands-on experience ...

obligations), and competitive landscape in electronic trading.Present research findings and strategic recommendations to senior stakeholders and cross-functional partners.Basic QualificationsAdvanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field.5+ years of experience in quantitative research related to execution/ ...

that strengthen the structuring franchise Job Requirements Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure 5 years to 15 years of ...

QUALIFICATIONSBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine learning): SQL and Python ...

Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward. Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc. Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals ...

QUALIFICATIONSBachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUpto 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/ ...

drive innovation. Conduct research and statistical analysis to build and refine monetization systems for trading signals. Your Skills & Talents: Bachelor's, master's or PhD in applied math, engineering, statistical modeling, calculus, computer science, physics or related disciplines required Ability to think about the world systematically and quantitatively, as well ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience.Required qualifications, capabilities, and skillsMasters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders ...

across Asia-Pacific, London, and New York, leveraging J.P. Morgan’s sophisticated solutions and global resources.Required Qualifications, Capabilities, and SkillsAdvanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Computer Science, Physics, Engineering, or equivalent.Experience working with quantitative investment strategies and derivatives, ideally with cross-asset exposure ...

needs.Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.Required Qualifications, Capabilities, and Skills:MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.Proven experience building and deploying AI applications in large-scale production environments.Experience with MLOps practices ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunitiesRequired qualifications, capabilities, and skillsAdvanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematicsStrong command of stochastic calculus, probability theory, numerical analysis ...

Looking For:Required:Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems.Good understanding of experimental design, A/ ...

Looking For:Required:Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems.Deep expertise in experimental design, A/B testing ...

Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/ ...

Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forwardRequired qualifications, capabilities, and skillsAdvanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etcRobust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals ...

experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning, or a related quantitative field.Master's or equivalent experience or PhD preferred.WHAT YOU’LL GET IN RETURNHIGH-IMPACT AI LEADERSHIPLead the development of next-generation AI products, demonstrating large-scale datasets, advanced AI models, and modern ...

clientsPreferred qualification - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage- PhD in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Knowledge of ...