1 to 25 of 48 Statistical Analysis Jobs in London

Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statistical analysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … use this to highlight problems with customers, they then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statistical analysis Working on real life production data, solving real life business problems, including financial … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statistical analysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivarate test,data exploration, data preparation, big data analytics, visualisations, statisticalanalysis, business analysis) for gatheringthe insights and identifying meaningfultrends in the data Generating tactical analysis to distilthe insights, identify opportunities & make recommendations Articulating trends … insights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation for analysis Proactiveness and ability to work autonomously and propose practical and differentiated solutions to problem statements and good expectationmanagement Skills required for the job Business … analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualisation for business presentations and dashboard design Commercial product analysis experience Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the databases more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivariate test, data exploration, data preparation, big data analytics, visualizations, statisticalanalysis, business analysis) for gathering the insights and identifying meaningfultrends in the data Generating tactical analysis to distil the insights, identify opportunities & make recommendations … insights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation for analysis Proactiveness and ability to work autonomously and propose practical and differentiated solutions to problem statements and good expectation management Skills required for the job … Business analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualization for business presentations and dashboard design Commercial product analysis experience ·Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the more »

NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab As a BIE, you will own partnering with data engineering and software engineering teams to … NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab • Experience using SQL to pull data from a database or data warehouse and scripting experience more »

reporting tools plus maintaining the existing ones up and maintain partnership with the third-party provider that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To … be successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data more »

+ Bonus Company Overview: Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative … trends, and opportunities for alpha generation. Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes. Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic … 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 more »

project leaders: keeping them informed, preparing briefing notes, data reviews, meeting agendas, summaries, and up-to-date project filing · Responsible for the execution of analysis plans co-developed with team leads ABOUT YOUR BACKGROUND · 3+ years of experience in a quantitative research agency role using statistical analysis … and their projects are elevated · Indomitable Inventiveness: the entrepreneurial resourcefulness to navigate complex challenges and disrupt expectations ABOUT YOUR SKILLSET · Quantitative research · Experience with statistical analysis tools: SPSS, U&As, running multivariate analyses · Experience with brand health trackers- a focus on retail and fashion is desired · Knowledge of more »

/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 methods and algorithms tailored 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 for data manipulation, analysis, and more »

including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle more »

pricing tools for production Collaborating and effectively communicating across 80Tech and its affiliated companies to develop an understanding of needs Researching and devising innovative statistical models for data analysis Developing pricing monitoring tools Executing analytical experiments to help solve problems across various domains and industries Devising and utilising … algorithms and models to mine big-data stores Performing data and error analysis to improve models; cleaning and validate data for uniformity and accuracy Being highly proactive and communicative in driving pricing changes Working with engineering to ensure all data is fit for purpose now and in the future … confidence in the PULR Skills and experience we are looking for: A breadth of experience in Data Science and modelling- data mining, mathematical and statistical analysis expertise Excellent problem-solving, analytical, and troubleshooting skills Excellent programming skills (Python) Skilled in SQL and Excel and knowledge of other databases more »

for the end customer. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for … analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements across the business Lead on forecasting and campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix Manage a team of analysts, growing and nurturing the team through coaching and … training Conduct deep-dives and incremental analysis into performance to generate actionable insights Deliver high quality analysis and insights, answering complex and diverse questions from across the business Work with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject more »

a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data Knowledge more »

and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statistical analysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »

with Redshift, Oracle, NoSQL etc. experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis packages such as R, SAS and Matlab using SQL to pull data from a database or data warehouse and scripting experience (Python more »

NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab • Experience using SQL to pull data from a database or data warehouse and scripting experience more »

Effectively communicate findings to both technical and non-technical stakeholders through presentations, reports, and visualizations. Provide actionable insights and recommendations to stakeholders using data analysis, to help them make informed decisions and drive business growth. Stay updated with the latest industry trends across data & analytics leveraging technologies to improve … business capabilities. Requirements: Background in leading teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate … flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

and experienced Insights Officer to craft concise analytical narratives supported by the interpretation of large datasets. This role involves drafting service needs and gap analysis, as well as progress reports. The successful candidate will engage with stakeholders to ensure that performance monitoring of services meets their requirements. They must … producing and maintaining datasets for the Feedback & Resolutions Team. This supports service design, impact assessment, and statutory requirements. The Insights Officer will contribute to statistical analysis and modelling, including trend analysis and projections, to inform service improvements and learning from feedback. They will collect and disseminate relevant … relationships with internal and external stakeholders. A high level of attention to detail and accuracy, strong analytical and quantitative skills, and proficiency in data analysis software and tools are also essential. Additionally, excellent organisational and time management abilities are required. Requirements include experience in data analytics, performance analysis more »

organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing new ways to analyze data to … delivery service partners. Partnering with other data engineers and analysts to build and automate central tools that will improve the quality of reporting and analysis in the organization. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines. We are open to hiring candidates … with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner/AWS Solutions Architect/AWS more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the more »

research and model development, preferably within an asset management or financial services environment. Deep understanding of financial markets, instruments, and asset classes. Proficiency in statistical analysis, machine learning, and data mining techniques. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team-oriented 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 more »

and reporting automation initiatives. Requirements: Experience in Star Schemas and Tabular Modelling. Hands-on experience in implementing Power BI solutions for financial reporting and analysis, including dashboard design and data visualisation.. Understanding of a broader range of Microsoft and other solutions for use-cases for finance processes Knowledge of … in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to completion By applying you more »

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 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 … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability 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 more »