301 to 325 of 698 Statistics Jobs in London

3+ years experience in machine learning algorithms, software engineering, and data mining models, withlarge language modelling (LLM) experience being advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which the ML methods ...

equity algorithmic trading business using Java, Rust, or other cutting-edge technologies. Conduct microstructure research and analysis of EMEA equity markets leveraging mathematical finance, statistics, and probability. Build backtesting frameworks and prototype quantitative research projects on algorithmic trading topics using Python and kdb. Monitor, analyze, and optimize platform performance ...

risk and conduct standards. What we’ll need from you Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve analytical equations ...

subject matter of our Level 4 Data Analyst Programme: Topics covered within the Data Analysis Programme are: Programming for Data Analysis (Python) Data Manipulation Statistics Data Storytelling Data Modelling SQL Data Architecture Time Series Machine Learning Your performance will be measured by and driven by a mindset built on: Enabling ...

Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy ...

solve problems, analyse curve, risk and volatility behaviour, and identify opportunitiesRequired qualifications, capabilities, and skillsAdvanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematicsStrong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte Carlo techniques ...

versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/ ...

Help 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 pipelines ...

problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte ...

problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte ...

knowledge of Amazon Web Services (EC2, S3, Athena, etc.) Interest in back-end technologies, architecture, and passion for learning new things Interest in math, statistics, or adtech technology is a plus Analytical approach to problems and pragmatic approach to solutionsAbility to work independently and enterprisingly in a dynamic environment where ...

write, read, and iterate through Python scripts to run data science analyses. Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data ...

knowledge of Amazon Web Services (EC2, S3, Athena, etc.) Interest in back-end technologies, architecture, and passion for learning new things Interest in math, statistics, oradtechtechnology is a plus Analytical approach to problems and pragmatic approach to solutions Ability to work independently and enterprising in a dynamic environment where work ...

needs of a multi-site operations with a broad set of skills and language requirements Basic Qualifications Bachelor's degree in mathematics, engineering, statistics, computer science, business administration or a related field Experience leading large-scale programs/projects Experience defining and executing program requirements and using data and metrics ...

with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...

production quant libraries written in C++ (additional experience in Python or R an advantage). Educated to Master’s or PhD level in Mathematics, Statistics, Physics or related field. Rigorous and organised with excellent communication skills, able to coordinate with other teams to safely introduce market driven and CDSClear driven ...

container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...

with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...

with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...

monitoring, issue identification and remediation tracking. The knowledge, experience and qualifications you need Apostgraduate qualification (Master’s or equivalent)in aquantitative discipline(e.g., mathematics, statistics, physics, engineering, computer science, econometrics or similar). Substantial relevant experiencein investment, quantitative modelling or risk management, ideally withinasset management/the buy side ...

instinct for spotting automation opportunities. Previous experience in a database-centric, web-enabled environment. Ability to perform database tuning working with SQL queries, indexes, statistics, database views. Understanding of database replication. Understanding of web services and extension kit flows. Experience of Java based application and Java containers (JBOSS, Wildfly). ...

analytics, data, AI, digital technology and solutions landscape A degree,Mastersor PhD from a leading university in data science, mathematics, operational research, physics, or statistics Desireable Experience in thesoftware orproduct development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout,implementationand managed ...

with a track record of leading teams, complex projects and non-trivial systems end to end. Master’s or PhD degree in mathematics, physics, statistics, econometrics, computer science, engineering, or related quantitative field. A strong interest in the quantification of CCR, XVA and the HPC methods that support them, together ...

into production and improve them using live performance and markout analysis Required Qualifications, Capabilities, and Skills Advanced degree or equivalent practical experience in mathematics, statistics, physics, computer science, engineering, financial engineering, or a related quantitative discipline. Relevant full-time quantitative research experience in high-frequency/medium-frequency trading, electronic ...

balance sheet management for discussion with senior managers, committees, and key stakeholders. Qualifications Excellent academic background in a quantitative field such as mathematics, physics, statistics, economics, engineering, or computer science, with a preference for Masters and PhDs. Strong programming skills in an object-oriented or functional paradigm such as Python ...