26 to 50 of 236 Statistical Modelling Jobs in London

/CFT. Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7. Strong understanding of machine learning and statistical modeling techniques. Deep understanding of fiat and crypto payment flows Proficiency in programming languages (e.g., Python, R, SQL). Experience with data visualization tools ...

maintaining clear documentation on key metrics, data sources and business logic Knowledge of Python or R is advantageous but not mandatory Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus. Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible ...

join our Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that … projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights. Stay current ...

seeking a Biometric Research Scientist/Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation … Responsibilities Prepare, validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources – in collaboration with Strategic Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk ...

This is a senior leadership opportunity for a technically strong data leader to shape a growing Data Research function. You will combine hands-on statistical expertise with research strategy, people leadership and commercial decision-making. The Company They are a growing data and technology business providing sophisticated data products … open-ended research projects from hypothesis through to evidenced recommendations. Improve how new datasets are evaluated for quality, value and commercial potential. Develop stronger statistical, modelling and technical standards across the function. Lead, hire and develop a growing technical Data Research team. Evaluate the cost and value ...

Commercial Excellence, Sales Enablement or Sales Transformation. Background in building technologies, industrial, services, controls or solution-based B2B environments. Knowledge of SQL, predictive analytics, statistical modelling, customer segmentation or opportunity scoring. Experience with data governance, Lean or continuous improvement methodologies. Additional European or EMEA language skills. Experience driving ...

Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong ...

that resonate deeply with the hearts and minds of our players. We are seeking a highly analytical Senior Data Scientist to lead the data, modelling, and technology foundations of our Forecasting function, including Marketing Mix Modelling and media effectiveness capabilities. The role will build robust internal tools, simulation … engineers, and marketing stakeholders to prioritise and deliver practical, scalable solutions. Responsibilities & KPI's Own the end-to-end Forecasting process from a data, modelling, and technology perspective, ensuring models, tools, QA routines, and monitoring are reliable, scalable, and business-relevant. Design internal tools, QA workflows, and reusable modelling ...

with trading, structuring and risk management functions across the bank, you’ll gain broad exposure to a variety of classic and contemporary financial engineering modelling techniques and markets instruments to help drive business strategy. Statistical Modelling Quants Comprised of data scientists, developers, data engineers and researchers. … well as the Wholesale and Retail Credit Risk operations within the bank. Team members deliver solutions to develop, test, implement and support all statistical and econometrics models for the estimation of default probabilities, recovery rates, exposures at default, forecasting models for net revenue, balance sheet projections, scenario generation/ ...

looking for a Senior Quantitative Modeller to architect, build, and evolve our core modelling and analytics platform. This is a rare opportunity to join a fintech redefining institutional asset allocation at an early stage, with hands‐on ownership of the models and systems that power everything we do. About … with less. What You Will Do Work directly with the Heads of Technology and Research to architect, build, and evolve Allocation Strategy's core modelling and analytics platform. Implement, validate, and productionise advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation ...

interest in these Experience of work related to railway operations and engineering, or a knowledge of or interest in the GB railway. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making ...

Experience in some of the following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured data management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics ...

operations efficiency through data analytics. Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial, operational and business data. Data modelling for reporting and analytics. Development and deployment of data visualizations and reports for management and internal business partners. Present ideas and solutions to business … Tools. YOUR PROFILE: Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, ETL processes. The successful candidate will be practiced in the hands-on development of software or analytics solutions. Minimum of 3 years of experience working ...

reporting layer Improve and expand existing reporting interfaces Требования Demonstrated technical expertise in business intelligence tools, dashboard and reporting application development, databases, data modelling, and ETL processes Hands-on experience developing software or analytics solutions At least 3 years of experience in data management and/or business intelligence … Autonomous, rigorous, creative, and a team player Nice to have: experience with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena, predictive analytics, statistical modelling, or machine learning Условия Competitive salary and benefits Investment in continued professional development International team collaboration with colleagues from around the world ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

dual role covering both operational and development duties. Moreover, the analyst is expected to take distance from the operational activity and our modelling in order to identify areas of improvement and contribute to the definition of the objectives of the team. He/She must participate to the training … critical information to the traders in London Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes. Main Development/Modelling Responsibilities The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/ ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

client-facing data science roles with strong stakeholder engagement skills Proficiency in Python and SQL; familiarity with R is advantageous Practical experience in building statistical models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed ...

selection, portfolio optimization, and capital management.The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...