301 to 325 of 416 Statistical Modelling Jobs in England

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important … their career within a fast‐paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

visualisation tools (Tableau, Power BI, Google Analytics, or similar). Strong understanding of customer data platforms, CRM systems, and market research methodologies. Familiarity with statistical analysis and predictive modelling is a plus. Communication and Influence Exceptional communication skills, with the ability to articulate complex data insights ...

data quality framework and its associated processes and reporting Identify opportunities to monetize data Operational Work to develop reports and analyses using SQL, BI & statistical tools against the CLS data warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate … handling several tasks simultaneously Self-starter with great teamwork and problem solving skills Business intelligence skills e.g. MicroStrategy (report creation, schema design, V10.11) Statistical, quantitative modelling tools e.g. R/Shiny Success factors/'How'. Personal characteristics contributing to an individual’s ability to excel ...

them under live conditions. Own the live risk profile of the blended book, conducting rigorous risk assessment and managing exposures. Requirements Strong background in statistical modelling and machine learning, with particular value placed on optimisation, ensemble methods, and portfolio construction (e.g. convex optimisation, mean-variance and its extensions … record of taking research into production and generating live PnL is highly valued. Experience with financial time-series analysis, market microstructure, or transaction cost modelling preferred. #J-18808-Ljbffr ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power our client's origin-verification science. … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You'll play a key role by...Leading hands … response modelsDeveloping deep understanding of Monzo's credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilitiesReviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence ...

client is a leading global investment bank. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in our client 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 and Payments ...

Reigate. You will own complex pricing models, drive improvements and apply cutting-edge analytics at scale with autonomy and influence. The role requires strong statistical modelling experience (GLMs/GBMs), governance awareness and excellent communication with senior stakeholders. WTW Radar/Emblem knowledge and Databricks, SQL or Python ...

touch if you have any queries.' Job Description: Required Technical Competencies Advanced proficiency in R, including: Data manipulation (e.g., dplyr, data.table) Statistical modelling and simulation Building reproducible analytical pipelines Automated testing and documentation Version control using Git/GitHub Role Summary Develop, maintain, quality assure and operate ...

CoreWeave is building an ambitious data science platform in the Monolith Data Science team, embedding advanced statistical models into production to improve cluster reliability and cost efficiency. This role sits at the intersection of data science and production systems in a fast-paced AI infrastructure environment. You will deploy ...

Associates in London seeks an analytics professional to join the Decision Analytics Associates team. You will develop and apply advanced statistical models, leverage data to guide client decisions, and communicate insights to both client and internal teams. The role requires a quantitative degree and proficiency in R, SAS, Tableau ...

Associates is a global management consulting and technology firm. We seek a Decision Analytics Associate to develop advanced statistical models and translate data into actionable insights for clients. You will apply techniques in R, SAS, Tableau, and Excel, communicate results clearly, and collaborate with client teams to implement solutions. ...

applying state-of-the-art AI and machine learning to financial problems. As a Member of Research Staff, you will push the frontiers of statistical ML and develop models used in live trading with a focus on producing impact at scale. Relocation and work visa eligibility are provided ...

eRates Strategist at Vice President level to design and implement electronic trading algorithms for government bonds and rate swaps. You will develop statistical and machine learning models for alpha signal research, pricing, hedging, and risk management, and build monitoring tools for performance. The role requires strong math and data ...

specialist insurer looking for a Pricing Actuary to join their high-performing pricing team. The role will focus on high-value pricing projects, building statistical and machine learning models to enhance risk cost and profitability predictions, as well as supporting segmentation, performance monitoring and pricing strategy across a range ...

significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software ...

requirements based on technical expertise and domain knowledge Build robust APIs and streaming interfaces to allow controlled access to the Pricing team’s complex statistical models and data products. Champion best SWE practices for testing, observability, CI/CD, and automation within the wider team Constructively critique solutions ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools ...

Credit Risk Analyst - Modelling & Scorecards One of the world most respected financial services companies (operates globally) requires an Credit Risk Analyst Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast‐paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end‐to‐end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast-paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

software. Guide, support, mentor and develop the growing team of predictive modelers and data scientists. Desired Skills/ExperienceAbility to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining. Data manipulation and analytical skills ...

visualise data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data … clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science or statistical methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical ...