1 to 25 of 42 Applied Mathematics Jobs in London

considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing ...

deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering. Several years of relevant work experience or equivalent educational training. Technical skills: Statistics, Probability Theory, Econometrics ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … market making, and robust financial risk controls. Job responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques closed-form and adjoint/algorithmic ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … market making, and robust financial risk controls. Job responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques closed-form and adjoint/algorithmic ...

model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design … execution, and prioritization Foster engineering consistency, standards, and best practices within Research Requirements Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical ...

marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms ...

develop awareness of responsible AI practices, including risk management and ethical use Education PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline MSc candidates with relevant industry experience may be considered Responsibilities Develops statistical and mathematical models to quantify tropical cyclone risk ...

Build a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. Extensive industry experience with developing machine learning models and creating ...

Modelling (MMM) and related marketing effectiveness methodologies. Bachelor’s or Master’s degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure ...

4. Reinforcement learning (e.g., multiarmed bandit). Demonstrable working experience of python and SQL, (knowing R is also helpful). Experience collaborating on applied statistical research or designing commercial statistical features/applications Experience … with AI applications Education Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics Communicating Effectively Driving Continuous Improvement Driving for Results Interacting with People at Different Levels Optimizely is committed to a diverse and inclusive workplace. Optimizely ...

Technical Skills Experience in econometrics, MMM, or marketing effectiveness. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

will translate research and modeling insights into scalable, production‐ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency ...

work to non-specialist audiences. Education, Qualifications and Training A PhD (or near completion) in a relevant quantitative discipline such as applied mathematics, physics, computer science, network science, computational epidemiology, or a closely related field. Personal Attributes Highly self-motivated and able to work independently as well ...

contribute to a supportive culture of learning and innovation. What We’re Looking For Familiarity and some experience with machine learning research or applied ML, ideally with expertise in probabilistic models and Bayesian statistics. Experience bringing ML models from prototype to production with supervision. Strong analytical … problem‐solving abilities, and confidence working across disciplines following established guidance. Advanced degree (MSc/PhD) in Computer Science, Statistics, Applied Mathematics, or a related field — or equivalent practical experience. Clear communication skills and a collaborative mindset. Bonus Points PhD in a relevant field. Experience with large ...

globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

validation, deployment,monitoringand long-term maintenance. Deeply trained in a quantitative discipline, ideally educated to PhD level in Computer Science, Statistics, Applied Mathematics,Physicsor a related field. Equivalent depth developed through industry experience is equally valued, we care about the depth ofexpertiserather than the credential. Fluent ...

offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini ...

onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally ...

econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

against real-world medical outcomes Contribute to scientific publications and technical documentation Profile PhD or strong MSc in biostatistics, epidemiology, statistics, applied mathematics, or a related field Experience with Bayesian inference and probabilistic modelling Familiarity with health data, physiological signals, or medical datasets Strong programming skills ...

Bachelors, Masters or PhD in any discipline with strong academic performance in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High ...

insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3-7 years' experience in a front-office quant, strategist, or quantitative research role, ideally ...

integration of models into the broader software platform Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field Strong experience developing machine learning models for time-series or sensor data Strong programming skills in Python Experience with machine learning frameworks ...