1 to 25 of 137 Permanent 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

C++, Javascript with experience in working with Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.) Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering Experience working with data, both in onboarding, cleaning ...

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 ...

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 ...

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 ...

advertising ecosystems, including programmatic advertising and sponsored search./li/ul h3 Preferred Qualifications/h3 ul li Advanced degree (MBA, MS, or PhD) in a quantitative or technical field./li li Familiarity with AI tools, LLMs, or agent based systems, with practical experience applying these technologies ...

disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science ...

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 ...

problems for data science Degree in a data science, statistics, computer science, machine learning, health informatics, or related quantitative field (or equivalent experience) Desirable PhD in a data-science related field Technical Essential Hands-on expertise in Python and SQL, and in modern machine learning and statistical methods, including causal ...

best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field ~2-4 years of experience in data science, machine learning, applied ...

Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. \n\n Required qualifications \n \n \n MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. \n \n Significant proven experience building and deploying AI applications in large scale production environments. ...

frameworks to accelerate the application of machine learning models across different areas of the business \n\n Required qualifications, capabilities, and skills \n \n PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research \n Ability to conduct literature research in unfamiliar fields \n Hands ...

Required qualifications, capabilities, and skills \n \n Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods \n PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant ...

Learning concepts. Experience designing and executing machine learning experiments. Strong problem-solving skills with a scientific and analytical mindset. Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical field. About US Tech Solutions: US Tech Solutions is a global staff ...

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 ...

explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid ...