1 to 25 of 187 PhD Jobs in London

Operations to support business objectives. Skills & Experience Essential Minimum 6 years of experience in a quantitative analytics, quantitative research, or derivatives-focused role. MSc, PhD, or equivalent degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets ...

team skills in a multi-location environment Deep understanding of financial products, their valuations, and associated risks Preferred Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts ...

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

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

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 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 ...

together with stakeholders to respond to internal audit queries and manage remediation actions and findings Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science) 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial ...

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

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 ...

evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience ...

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

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

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 ...

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 ...

achieve optimal outcomes in a fast-paced environment. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n \n \n An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. \n \n Experience within Financial Services or FinTech ...

achieve optimal outcomes in a fast-paced environment. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n \n \n An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. \n \n Experience within Financial Services or FinTech ...

adapting analysis scope to achieve optimal outcomes in a fast-paced environment. NICE TO HAVE BUT NOT ESSENTIAL An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. Experience within Financial Services or FinTech Additional Information #LI ...

adapting analysis scope to achieve optimal outcomes in a fast-paced environment. NICE TO HAVE BUT NOT ESSENTIAL An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. Experience within Financial Services or FinTech Additional Information #LI ...

documentation, reproducibility, traceability, and SDLC; ensure compliance with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk ...

solutions \n \n\n Required qualifications, capabilities, and skills \n \n Hands on experience in an ML engineering role \n Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Track record of developing, deploying business critical machine learning models \n Broad knowledge of MLOps tooling ...

solutions \n \n\n Required qualifications, capabilities, and skills \n \n Hands on experience in an ML engineering role \n Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Track record of developing, deploying business critical machine learning models \n Broad knowledge of MLOps tooling ...

delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling ...

delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling ...

pricing strategies, or related marketplace dynamics. Knowledge of digital advertising ecosystems, including programmatic advertising and sponsored search. Preferred Qualifications Advanced degree (MBA, MS, or PhD) in a quantitative or technical field. Familiarity with AI tools, LLMs, or agent‐based systems, including practical experience applying these technologies to product development. Previous ...