26 to 45 of 45 Applied Mathematics Jobs in London

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 ...

closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical ...

benchmarking, trending, and competitive analysis. Key Qualifications Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. 10+ years' professional experience in ad tech research, marketing insights, and advanced analytics within an advertising platform ...

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 ...

better working world. You 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 … 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 ...

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 ...

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 ...

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless … market complexity, product structure and market mechanisms Solid development skills in Python and/or C++ Master or PhD degree in applied mathematics, statistics, operations research, machine learning, physics, and science related subjects from top tier university Reliable and predictable availability Benefits Discretionary bonus eligibility Medical, dental ...

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. Our Commitment to Diversity and Inclusion ...

Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation ...

communicator, able to explain complex topics to diverse audiences. Strong academic background in a STEM discipline such as Financial Engineering, Applied Mathematics, Physics, Engineering, and Computer Science Ability to analyse and apply advanced statistical methods across large data sets Preferred qualifications, capabilities, and skills Knowledge of Foreign ...

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 ...

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 ...

ideally with experience in futures, fixed income, FX, and exchange-traded global equities. Undergraduate or higher degree in computer science, statistics, applied mathematics, engineering, or other quantitative discipline. Familiarity with SQL and Python. Familiarity with vendor trading platforms including Tradeweb and Bloomberg. Detail-oriented and vigilant about ...

most cutting-edge AI Infra trends in the industry. Bachelor's degree or higher in Computer Science, Electronic Information, Automation, Applied Mathematics, or related fields; experience in cross-border e-commerce is highly preferred. Deep understanding of the underlying source code and runtime mechanisms of PyTorch, Megatron ...

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 ...

excellent quantitative and technical skills. The role sits across growth marketing, AI, ML, paid acquisition, optimisation and experimentation. You'll be using data, applied maths and AI to improve acquisition, creative performance, measurement and LTV. We're looking for someone who has genuinely worked in marketing or growth ...

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 ...