1 to 25 of 781 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 ...

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 ...

performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education - Undergraduate degree with significant quantitative research experience or MSc/MEng/PHD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills - Highly proficient in programming (R/Python/Java ...

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 ...

landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross-functional partners. Basic Qualifications Advanced 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 ...

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 ...

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 ...

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 ...

landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced 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 ...

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/ ...

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 ...

machine learning, alongside the ability to translate complex technical concepts into practical, business-focused outcomes. Essential experience includes: Degree (BSc, MSc or PhD) in a quantitative or scientific discipline such as computer science, mathematics, physics or engineering Several years' experience working as a Data Scientist or in a closely related ...

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 ...

Pacific, London, and New York, leveraging J.P. Morgan’s sophisticated solutions and global resources. Required Qualifications, Capabilities, and Skills Advanced 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 ...

bachelor’s degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master’s or PhD) would be a plus. Locations Level 6, London, United Kingdom, EC2N 4BQ, GB About Us As a leading global reinsurer, SCOR offers its clients a diversified ...

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 ...

Pacific, London, and New York, leveraging J.P. Morgan's sophisticated solutions and global resources. Required Qualifications, Capabilities, and Skills Advanced 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 ...

Pacific, London, and New York, leveraging J.P. Morgan's sophisticated solutions and global resources. Required Qualifications, Capabilities, and Skills Advanced 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 ...

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 ...

bachelor's degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master's or PhD) would be a plus. #J-18808-Ljbffr ...

high-velocity environment, employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with ...

intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. ResponsibilitiesPartner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategiesDevelop and maintain complex data pipelines, including data ingestion, feature engineering, validation ...

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 ...

of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data pipelines, including data ingestion, feature engineering ...