1 to 25 of 33 Physics Jobs in Central London

stay updated on industry developments in digital asset derivatives. Skills and Qualifications Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science. Experience: 10+ years in quantitative research, with at least 5 years in a leadership role within financial services, preferably in derivatives trading or market infrastructure. Proven expertise More ❯

stay updated on industry developments in digital asset derivatives. Skills and Qualifications Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science. Experience: 10+ years in quantitative research, with at least 5 years in a leadership role within financial services, preferably in derivatives trading or market infrastructure. Proven expertise More ❯

including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction More ❯

you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows More ❯

to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers More ❯

techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

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 one major programming or scripting language (Python, C++, and R). Strong communication skills and ability to work well More ❯

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 one major programming or scripting language (Python, C++, and R). Strong communication skills and ability to work well More ❯

documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets More ❯

deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an More ❯

deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an More ❯

new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling More ❯

potential Follow, digest, analyze and improve upon the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability More ❯

LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build and create prototypes in a fast-paced environment BSc/MSc in Computer Science, Physics, Mathematics, Engineering, or similar field Why Join Our Client? A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. More ❯

Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with More ❯

world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs More ❯

world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential) Deep expertise in at least one of: RL, LLMs More ❯

well-funded Deep Tech GenAI startup that is reimagining mechanical engineering processes. They've assembled a world-class team from Cambridge, MIT, and Google across software, data science, theoretical physics, and computational geometry to build tools that transform large-scale engineering through machine learning and generative AI. They are now looking for a Senior Frontend Engineer with a passion for More ❯

We’re Looking For 2–5 years of experience in investment risk, preferably at a quant fund, prop trading firm, or hedge fund Strong quantitative background (degree in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a More ❯

We’re Looking For 2–5 years of experience in investment risk, preferably at a quant fund, prop trading firm, or hedge fund Strong quantitative background (degree in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a More ❯

skills and experience for this role are: One to two years’ experience in modelling, forecasting, or data analysis A bachelors or masters degree in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science, or Economics) A strong academic background with AAA or above at A-level (or equivalent), including Mathematics Proven experience building and maintaining sophisticated data models Excellent Excel More ❯