1 to 25 of 30 Statistics Jobs in the City of London

side or sell-side with a genuine interest in sustainable investing Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets Experience using modern generative AI tools ...

technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred ...

another language commonly used in data analysis, quantitative research or data engineering. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, engineering, business or a related discipline. We use years of experience as a guide and will consider candidates who can demonstrate the domain ...

metrics is done effectively & efficiently. Qualifications & Experience: 4+ years of work experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R/Python). 5+ years of experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting Advanced ...

experience in data science, applied data science or machine learning in a sophisticated commercial environment. Advanced capability in Python and SQL. Deep grounding in statistics, machine learning, experimentation and model validation. Solutions you can point to that delivered measurable customer or commercial impact. Strong experience across segmentation, propensity, lifetime value ...

emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least ...

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

cutting-edge AI tools. The Candidate Key attributes of a suitable Senior AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy ...

years' experience in quantitative research, quantitative trading or systematic strategy development. Strong Python programming skills and experience building research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with large structured ...

gathering skills. Excellent communication and documentation abilities. Experience supporting solutions through testing, deployment and production support lifecycles. Degree in Computer Science, Data Science, Mathematics, Statistics or a related discipline, or equivalent commercial experience. This is an excellent opportunity to join a growing Data & AI function and play a key role ...

with stakeholders across the business. Experience within the insurance or financial services is highly desired. A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics or a related discipline is desirable If you're an experienced Data Architect looking for an opportunity to make a real impact on data ...

utility in guiding real-world interventions. Communicate findings clearly to colleagues and stakeholders from different disciplines. Professionally, you will have PhD in ML, statistics, computer science, or a related quantitative field. Deep expertise in generative modelling. Strong foundations in probabilistic modelling, representation learning, or neural network architectures for structured ...

economic, regulatory, and technological forces shaping the threat landscape Research & Analysis Rigorous, evidence-based approach to research and insight development Comfort working with data, statistics, and complex information sources Ability to distinguish signal from noise and surface what truly matters Written Communication Exceptional writing ability; clear, compelling, and persuasive Ability ...

investment ideas are transformed into scalable, systematic strategies. With research hubs across London, New York and San Francisco, we bring together experts in investing, statistics, computer science, engineering and artificial intelligence to tackle some of the most challenging problems in quantitative investing. As part of BSYS, Systematic Active Equity ...

business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation … experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready ...

Developed high availability distributed systems with tight latency constraints An understanding of computer networking, the related technologies, and their tradeoffs Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain Strong verbal and written communication skills Strong internal motivation and a continual desire to learn ...

business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation … experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready ...

from a conversion perspective. Technical Literacy & Architecture awareness: Base-level understanding of product architecture and client-backend interaction. High-Velocity A/B Testing & Statistics: Proven experience managing a continuous pipeline of concurrent experiments and conducting post-analysis. Stakeholder & XFN Management: Proven ability to manage complex dependencies, align XFN teams ...

existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets ...

improving models and supporting data-driven decision-making. This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport and wants to develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. … work independently while also contributing effectively within a team. Strong communication skills. Desirable Degree or postgraduate qualification in a quantitative subject such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related discipline. Experience in data science or quantitative research. Experience working with sports data. Knowledge or experience of sports ...

agreed IT Infrastructure changes and following maintenance routines Network Support – Uses Network Management tools where applicable to investigate and diagnose network problems, collect performance statistics, and create reports Customer Service - Liaise with customers regarding fault correction progress and circuit installations Maintain customer equipment manuals, network drawings and circuit databases accurately ...