24 of 24 Applied Mathematics Jobs in London

Description Mathematics Specialist Position: Mathematics Specialist Type: Contract Compensation: $80–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Mathematics Experts with a PhD in Mathematics or a closely related field to contribute to advanced AI research and evaluation projects. … apply your mathematical expertise to solve, review, and explain complex problems across undergraduate and graduate-level mathematics while helping improve the reasoning and performance of next-generation AI systems. No prior AI experience is required. Your mathematical knowledge, research experience, and analytical reasoning skills are the primary qualifications ...

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 … Financial Mathematics Experience developing and implementing large quantitative models, managing large data sets. Proven leadership abilities, working across organizational lines. Strong programming skills; SQL, Python, VBA, Latex Strong technical writing and clear verbal communication skills Experience of, and ability to work under pressure and deliver to tight deadlines. Ability ...

language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down … your chance to future-proof your career in an AI-first world! What does day-to-day look like: Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. Solve problems independently and write detailed ...

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 ...

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 ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. Benefits At Databricks, we strive to provide comprehensive ...

influence architectural decisions, not just implement against a fixed specification. The strongest candidates have a deep understanding of both large model inference and the mathematics of stochastic systems, and have built systems that run on real hardware, not just in theory. What You Will Own Algorithm Development : Develop algorithms … systems language Collaborative instinct and ability to work across hardware, architecture, and software teams Bonus Points PhD in machine learning, applied mathematics, physics, electrical engineering, or a related field Exposure to analog or mixed-signal systems, in-memory compute, or non-von-Neumann architectures Experience working ...

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 ...

building an innovative and compliant market. The Role You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from … live market conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Requirements Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world ...

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 ...