51 to 75 of 686 Mathematics Jobs in London

audiences; comfortable influencing cross-functional stakeholders Empathetic, collaborative leader who fosters a positive team culture and champions feedback Relevant tertiary qualification (Master's or Doctorate preferred) in Data Science, Mathematics, Statistics, Computer Science or equivalent practical experience Domain experience in Private Markets and Private Credit is highly desirable We love hearing from anyone inspired to build a better future with More ❯

models Experience building tools and technologies within systematic or discretionary investing units Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal More ❯

technology - p lease include links to relevant work such as G ithub repostries , previous i nternship s or Hackathon projects on your application. Pursuing a degree in Computer Science, Mathematics, Engineering, Physics or a related technical discipline (desired but not necessary). If you are excited about the role and can pass our tech test, we encourage you to apply. More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

of the graduate programme and joins us on a permanent basis from day one . We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply. Application close More ❯

is essential, and an interest in using Machine Learning in a trading environment would be desirable. Essential Skills: A PhD or Master’s Degree in a relevant Quantitative Field (Mathematics, Computer Science, Engineering, Physics etc) Coding skills in Python, C++, Java or C# Strong problem solving ability and knowledge of data structures and algorithms More ❯

have at least two years of experience in a quantitative research or trading role Your background includes an advanced degree (Master’s or PhD) in a quantitative field like mathematics, physics, computer science, or statistics You write clean, efficient Python code and have practical experience with data science and machine learning libraries You approach problems with precision, patience, and a More ❯

is more than comfortable working 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.This is an office-based role and as well as very competitive salaries, our client More ❯

is more than comfortable working 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. This is an office-based role and as well as very competitive salaries, our More ❯

is more than comfortable working 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. This is an office-based role and as well as very competitive salaries, our More ❯

microservices, GCP, Redis, bullmq 2-6+ years professional software engineering experience (Back End or full-stack). First Class Bachelor's Degree in a relevant subject (Computer Science, Maths, Physics etc.) Design, implement and maintain Back End services and APIs in a microservices architecture Strong experience with Node.js Help improve CI/CD, testing and engineering best practices (we More ❯

the organisation prepare for future quantum advantage. Collaborate with academic and research institutions to contribute to the wider quantum computing community. Advanced academic background in Quantum Computing, Physics, Engineering, Mathematics, or Computer Science (PhD or MSc). Experience (academic or early career) working on quantum algorithms, gate model computing, or hybrid quantumclassical systems. Strong technical and hands-on mindset, comfortable More ❯

depth knowledge of memory management, multithreading, CPU cache optimization, and Linux Solid understanding of infrastructure and network basics Desirable Ideally BSc, MSc and/or PhD in Computer Science, Mathematics or Physics Ideally HFT experience (client is open, however, to a non-finance background, especially if personal projects are finance-related) Benefits Top of the market salary + bonuses + More ❯

ensure governance and risk controls 3 5 years experience in machine learning engineering and/or applied data science Master s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication More ❯

event annually—such as a conference, workshop, or networking event—focused on areas like sports analytics, statistics, machine learning, or gambling. Skills & Experience Required MSc in Statistics , Data Science , Mathematics , or another quantitative discipline (e.g., Computer Science, Engineering, Finance) with a strong statistical component. Prior experience in a role involving significant statistical analysis, demonstrating skills beyond academic study. Programming experience More ❯

expertise in OO design, design patterns, Unit & Integration testing Experience in a Unix/Linux environment (must-have) Knowledge of Agile/Scrum development methodologies Degree in Computer Science, Mathematics, Physics or Financial Engineering Nice to have: Experience with equities/derivatives/convertibles (preferred) Python experience and/or cloud and containerization technologies Front-end UI, e.g. Javascript, HTML5 More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

governance and risk controls Requirements 3–5 years’ experience in machine learning engineering and/or applied data science Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience More ❯

governance and risk controls Requirements 3–5 years’ experience in machine learning engineering and/or applied data science Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience More ❯