9 of 9 Applied Mathematics Jobs in Central London

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 ...

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 ...

will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives … diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential. EY | Building a better working world EY is building a better working world by creating new value ...

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 ...

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 ...

competitive analysis . What We're Looking For Postgraduate degree ( MS or PhD ) in a quantitative discipline such as Economics, Statistics, Applied Mathematics, Data Science, Business or a related field. 10+ years' professional experience across areas such as: Ad tech research, Marketing insights, Advanced analytics, Digital advertising ...

/publications/united-kingdom-security-vetting-clearance-levels BASIC QUALIFICATIONS - Bachelor's degree within last 12 months in operations research, applied mathematics, theoretical computer science, or equivalent, or a GSEC (GIAC Security Essentials) or Security+ and experience with any programming language such as Python, Java, C++ ...

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 ...

read more here. Working at Wintermute 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 data ingestion … conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Hard Skills 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 ...