scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced More ❯
experience extracting, structuring and analysing data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving skills. Good communication skills, ability to deliver complex problems in a simplified way. Mason Blake acts as More ❯
development, backtesting and monitoring of strategies in live trading. Requirements: The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. Experience/knowledge of finance from More ❯
development, backtesting and monitoring of strategies in live trading. Requirements: The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. Experience/knowledge of finance from More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology 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 ❯
collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with demonstrated More ❯
collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with demonstrated More ❯
design and architecture discussions. Contribute to the implementation of newt technologies and tools. Collaborate with team members to deliver high-quality solutions. Degree in a quantitative discipline - Engineering, Mathematics, Physics, Chemistry, Computer Science or related fields (Bachelor's, Master's, PhD). Strong programming skills, preferably with some experience working with Python, C# and/or JavaScript. Knowledge of database More ❯
new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of More ❯
through new business initiatives with a global impact. QUALIFICATIONS: Excellent academic background with a Bachelor's, Master's, or Ph.D. in a quantitative or engineering field (e.g., mathematics, finance, physics, computational finance, computer science, engineering). Strong analytical and programming skills. 1-3 years of experience in a quantitative financial modeling role, preferably with foreign exchange derivatives. Creative problem-solving 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 ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hays
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 ❯
East London, London, United Kingdom Hybrid / WFH Options
Hays
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
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 ❯
mindset and comfort working in fast-changing environments. A deep motivation to contribute to climate and ecological impact. An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field. Nice to Have Experience working with geospatial or spatial-temporal data. Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR). Familiarity with TorchGeo or More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Hays
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 ❯
culture and help us grow Polaron, so if you feel like you could excel in this role, please get in touch! A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow More ❯
addition to driving innovation, you'll help grow the team's technical depth by mentoring and developing talent. Qualifications (Text Only) Required Qualifications: - A Ph.D. in Computer Science, Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural More ❯
analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams More ❯
analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams More ❯
define, build and test Graphcore's next generation of AI hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing More ❯
