26 to 50 of 63 Statistical Modelling Jobs in London

adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »

risk adjusted returns.Quantitative Developer Position:The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »

retail pricing. Developing and embedding technical pricing strategy, using findings from the GI market to enhance technical pricing. Leading R&D in areas of statistical modelling and data innovation to develop more powerful pricing models. Key experience of the Senior Pricing Manager: 5+ years of General Insurance Pricing more »

successful scala software engineer will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. You will be working closely with the quantitative researchers and alongside other extremely talented and driven more »

strategies as needed to adapt to changing market conditions.Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning.Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns.Work closely with other members of the quant team to share ideas … in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow).Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data.Knowledge of trading platforms, order execution systems, and electronic trading protocols.Excellent analytical and problem-solving skills more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »

Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing … data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

that the software reflects industry best practices. Data insights: You are skilled in data analysis and data visualization. You can convert model outputs and statistical test results into valuable insights for our customers Collaborative Innovation: Work closely with our skilled algorithm engineers, translating conceptual ideas and theoretical knowledge of … in a retail energy setting. Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Economics, or a related field. Experience in data analysis, statistical modeling, and forecasting experience is considered an asset European energy & utility market knowledge and expertise, preferably experience in a retail energy setting. Nice to more »

within the Global Product team.About the Project/RoleThe key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes.Job Role RequirementsDesign and refine machine learning and statistical models to improve their performance and adaptability.Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data … in deploying models into production environments efficiently.Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes.Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation.Take charge of more »

an excellent reputation both in the UK and abroad. THE ROLE You'll lead and support projects that continually improve predictiveness and segmentation of statistical models of claims. You'll work across various products and channels using both, traditional and data science/contemporary techniques. What you'll be … Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. Robust knowledge and understanding of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills & initiative whilst working to strict deadlines. Effective communication … to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. more »

Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in:business intelligence, data mining, analytics, and statistical modeling disciplines;analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;implementing … data;programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies;using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau.Technical Blog PostsRead more about what our Engineers and Data Scientists do: https:/ more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »

Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics.Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies.Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis.Collaboration and Influence:Collaborate closely … client engagementExtensive experience in advanced analytics and data science, preferably in a commercial or consulting environment.Proficiency in Python programming and experience developing ML or statistical models related to pricing.Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake).Bonus Points for:Experience implementing more »

the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis. Collaboration and Influence … Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Role more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

are interested in expertise in all HFT, MFT, and LFT). Construct robust portfolio based on multiple signals Identify new trading opportunities by using statistical methods and analyzing large data set Contribute to improving a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and … or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in Python and understanding of Git Desirable traits Curious and open more »

Responsibilities include: Interacting with and influencing business and finance customers to gather, calculate and present data. Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. Be responsible for the Production Planning as well as cost and service optimization Building short/medium and long … as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise Resource Planning Systems more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel more »

sports betting models. Please do not apply if you don't have the experience* Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

identify patterns, anomalies, and opportunities in financial markets.Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management.Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights.Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and … skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development.Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization.Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch.Familiarity with financial markets, trading more »