1 to 25 of 153 PhD Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

scientific customers to shape ML strategy and identify high-value opportunities. Present technical strategies, architectural decisions, and outcomes to senior leadership. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area). Hands-on experience designing, prototyping, productionizing ...

grow. Collaborate closely with product, research, and technology stakeholders to ensure models and tools are usable, interpretable, and commercially relevant. Essential Master's or PhD degree in a quantitative discipline (or equivalent professional experience). 5+ years of relevant professional experience in quantitative modelling, software engineering, or applied research. Strong ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Qualifications: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Track record: Proven track record of delivering AI solutions from research to production ...

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 ...

such as TOGAF and operation within Architecture Review Boards. Excellent communication skills, synthesizing complex technical topics for non‐technical stakeholders. Preferred Master’s or PhD in Computer Science, AI, ML, Data Science, or related field. Experience in financial services (asset management, investment banking, fintech) with knowledge of investment workflows, data ...

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 ...

support trading and strategist teams. Collaborate closely with traders to support decision‐making processes and improve execution efficiency. Qualifications Master’s degree or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline. At least 3 years of experience in quantitative modelling, preferably within equity derivatives ...

machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or an MS with significant years of industry or research ...

complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional ...

example with high‐quality engineering practices. You Might Thrive In This Role If You: Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Have experience building GenAI‐focused applications with the latest technologies, including but not limited to Agents ...

test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals What you need to succeed Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar 8+ years of hands-on experience MLOps, Research Engineering, or ML Research A strong background ...

concepts, contributing hands-on to development where neededDrive innovation and best practices in machine learning, analytics, and data science deliveryAbout You:Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related fieldExtensive experience leading data science and AI initiatives in complex environmentsDeep expertise in machine learning ...

hands-on to development where needed Drive innovation and best practices in machine learning, analytics, and data science delivery About You: Master s or PhD in Computer Science, Data Science, Machine Learning, or a related field Extensive experience leading data science and AI initiatives in complex environments Deep expertise ...

take full ownership of the solutions you build and deliver; Highly adaptable and able to thrive in uncertain, rapidly evolving environments; Master’s or PhD degree (or equivalent experience) in Computer Science or a related field; Experience with JVM-based languages (Java, Kotlin) or Python; Advanced math and quantitative skills ...

work experience. Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with programming languages such as C, C++, Java, Python ...