1 to 25 of 68 PhD Jobs in London

detail Ability to work independently and within a collaborative team environment Genuine interest in sports analytics, trading, or betting markets Preferred Background MSc or PhD in Mathematics, Statistics, Computer Science, Physics, or another highly quantitative discipline Previous experience within sports trading, quantitative finance, betting analytics, or predictive modelling environments would ...

detail Ability to work independently and within a collaborative team environment Genuine interest in sports analytics, trading, or betting markets Preferred Background MSc or PhD in Mathematics, Statistics, Computer Science, Physics, or another highly quantitative discipline Previous experience within sports trading, quantitative finance, betting analytics, or predictive modelling environments would ...

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 ...

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 ...

management across the organisation to drive consistency in evaluation standards, documentation quality, and responsible AI adoption.**Required Experience & Qualifications*** Bachelor's, Master’s, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field.* Significant professional experience (typically 7–12+ years ...

emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work ...

engineering to ensure end-to-end solution success. What we need from you Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics. PHD or MSc or equivalent experience in Data Science, Computer Science, Satistics, Physics or related field 5+ years of Data Science experience with a minimum of ...

based at Moorfields in central London. There may be occasional travel nationally and internationally, subject to requirements. Person Specification Education/Qualifications Essential A PhD or masters with equivalent professional experience in a field with relevance to health data science. Desirable Project management qualification (e.g., PRINCE2). Knowledge and Experience ...

governance standards and regulatory requirements, and support audit and other business functions around model management. Required Qualifications, Capabilities, and Skills Advanced degree (MSc or PhD) in a quantitative or technical discipline, or significant practical industry experience. Solid understanding of fraud modelling in financial organizations, including the unique challenges and regulatory ...

checking that all required data and processes are ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least ...

problems into robust, low-latency ML solutions, and play a key role in defining the technical architecture of the platform. Requirements Master's or PhD in Machine Learning, AI, CompSci, Mathematics, or a quantitative discipline 5+ years of ML engineering experience, ideally within finance or a quantitative environment Expert ...

that all required data and processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming ...

global banking environment. Familiarity with advanced financial modeling and optimization tools. Advanced degree such as an MSc in Mathematical Finance, Financial Engineering, or a PhD in a related field. #J-18808-Ljbffr ...

with SQL Server , MongoDB , and Git . Background in front-office environments within an investment bank, hedge fund, or fintech firm. Preferred: MSc or PhD in a quantitative discipline. Experience with structured products, particularly structured notes. 🌟 What We’re Looking For A critical thinker with outstanding analytical and problem-solving ...

Azure), API design, and the infrastructure required to serve and scale advanced AI/ML applications. Preferred Qualifications & Skills Master's or PhD in a technical or scientific field, with a focus on computational science, biomedical sciences, AI, data science, software engineering, or a related discipline. Exceptional leadership and communication ...

application of budget against data acquisition activities, with a clear link to downstream effect of spend.**Required Experience & Qualifications*** Bachelor's, Master’s, or PhD (preferably in field such as Computer Science, Mathematics, Statistics, Financial Engineering, or equivalent).* Significant professional experience (typically 7–12+ years) in relevant data roles ...

market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints. xcunqrwCandidates with a Master's or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD. ...

market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints. xgfakrv Candidates with a Master s or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD. ...

market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints. xkybehq Candidates with a Master s or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD. ...

market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints. xlzlddp Candidates with a Master s or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD. ...

frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master’s degree or Phd in Computer Science or Data Science 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building ...

open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What ...

services including model testing, data analysis and quality reviews Stakeholder and team management servicing clients for the firm To be considered: Quantitative academics background (PhD/MSc preferred) Experience of cash flow models/derviatives Leadership/management experience Sound knowledge of one or more financial asset classes (e.g. derivatives ...

community leader and ensure AI practitioners in the firm stay up to date with the latest advances Required qualifications, capabilities and skills PhD and academic research experience or have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis ...

coordination Candidate Profile Education Minimum of a 2:1 in a scientific or technical undergraduate degree A second degree (e.g., MBA, MSc, MPharm, or PhD) is advantageous but not required Work Experience 3 - 4 years’ experience in business transformation, systems implementation, and/or product management Understanding of and experience ...