22 of 22 Applied Mathematics Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

when possible, to improve regional budget efficiency and profitability Requirements Education & Experience Bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field or relevant certifications 5+ exposure to IT architecture and solutions for data flows among systems and applications 3+ business ...

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 ...

robust frameworks and services that are used across the business. Required Qualifications A master's degree or equivalent in Financial/Applied Mathematics, Physics, Engineering, or Computer Science Excellent Python and C++ programming skills Proven quantitative understanding of linear rates products and how they are priced ...

serverless technologies Experience building large-scale machine learning and AI solutions at Internet scale Preferred Qualifications PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems Experience in data applications using large scale distributed systems (e.g. ...

building 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. Industry experience with developing machine learning models and creating software ...

mathematical and technical problem-solving ability The ability to independently lead complex technical and research problems A PhD in CFD, FEA, Applied Mathematics or a closely related discipline would be highly relevant, although candidates with equivalent high-level industrial experience will also be considered. Desirable Experience Experience … direction of a sophisticated engineering software platform. Rather than moving into people management, you will become a senior technical authority, combining research, physics, mathematics and software engineering to solve complex real-world engineering problems. The position can be based remotely in the UK, Spain, France, Germany, Italy ...

limited to option pricing and volatility models, algorithm design and alpha research. What we’re looking for: Academic degree in applied mathematics, computer science, statistics engineering or physics. PhD or any other track record in conducting independent research. Minimum 3+ years of experience in the financial industry ...

inventory targets etc. Understanding of core OR techniques: branch-and-bound, LP relaxation, constraint programming, sensitivity analysis Degree in Operations Research, Applied Mathematics, Industrial Engineering, CS, or related field (MS/PhD advantageous) #LI-HYBRID #LI-LS1 We conduct background checks as part of our hiring process ...

governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast‐paced, customer-facing environments. Our Commitment to Diversity and Inclusion ...

trading framework. Requirements for a Quantitative Researcher: Master's degree or PhD in a quantitative discipline such as Physics, Engineering, Statistics, Applied Mathematics, Quantitative Finance, or a related field with a strong statistical foundation. Strong programming skills in Python, with the ability to develop efficient and scalable … research tools. Solid understanding of applied statistics, linear algebra, and time series analysis. Experience working with large and complex datasets, including data cleaning, transformation, and analysis. Knowledge of financial markets and an interest in quantitative investing and trading strategies. Self-motivated individual who takes ownership of projects ...

cloud‐native data ingestion, activation, and governance. Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block ...

develop innovative real-time trading models and low-latency solutions for exchange-traded options. The role demands a strong background in applied mathematics or related fields, 3+ years in electronic options trading, and the ability to validate complex hypotheses on large datasets. #J-18808-Ljbffr ...