1 to 25 of 45 Statistical Analysis Jobs in London

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 »

will be closely aligned to the fundamental equity L/S portfolio managers, supporting them with portfolio construction/optimisation, factor modelling, tool building, statistical analysis and ad-hoc quant research projects. The fund are looking for those who have a strong quantitative equities background as well as more »

on complaint issues. • Evaluate process deficiencies, communication breakdowns, and customer expectations to determine accurate root causes. • Identify opportunities for process improvement based on complaint analysis, industry best practices, and benchmarking data. • Participate in cross-functional teams and process improvement projects to drive systemic changes and enhance customer satisfaction. • Develop … and implement corrective and preventive actions (CAPAs) to address root causes and prevent recurrence of complaints. Ideal Candidate If you thrive on data analysis and enjoy driving continuous improvement and enhancing customer experience, this role is for you! You should have a keen analytical mindset, a strong background in … statistical analysis, and excellent problem-solving skills. The ability to synthesize complex data into actionable recommendations is essential. Essential Qualifications • Experience in root cause analysis, quality assurance, or process improvement. • Proficiency in root cause analysis methodologies, tools, and data analysis techniques. • Strong analytical skills to 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 »

by importing, cleaning and organising raw data in a way that enables both you and the team to make best use of it. Data Analysis by working with technical experts from the transport, operations and energy sectors to analyse current operations and help model physical and operations scenarios to … in partnership with the other senior analysts and CEO to deliver client projects. Requirements: The role requires significant amounts of hands-on quantitative data analysis, so you will need: Degree level qualification or higher in a numerate discipline (e.g. computer science, economics, logistics, engineering or physics) At least … Tableau SQL Excel & VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles more »

credit books and is a leader in the space. The team are seeking someone with between six and nine years of quantitative modelling and statistical analysis within the Credit space. Perhaps an individual in retail banking or an individual with co-mingled banking and fund experience that has … critical in decision making both from a due diligence perspective ahead of investment decisions and post acquisition of credit portfolios. Dissecting the portfolios through statistical analysis to assess revenue streams, risk identification, adjusting payment structures within the portfolio blocks and ongoing regular monitoring of that performance to pre … of skill set 5-9 years of Credit Experience ideally from a retail bank or leading financial institution A strong experience working both on analysis but also execution of credit loans deals/lending within your institution Advanced statistical modelling skills that can achieve optimisation, multi dimensional regression more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with more »

a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping the company's strategic direction by providing data-driven insights and recommendations to refine … insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with the insurance team. Provide data-driven recommendations to senior management for strategic decisions. Collaborate more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

legislation and its application Good understanding of regulatory and professional standards, guidelines and recommendations, e.g. RCR 'Towards Safer Radiotherapy Basic IT skills Basic statistical analysis knowledge and skills, and use of spreadsheets Desirable Knowledge of the key performance indicators/quality metrics associated with associated services/departments more »

evaluating potential, scoping projects, and defining deliverables. and deploy advanced machine learning models using Azure Machine Learning and open-source stack, ensuring robustness through statistical analysis and hypothesis testing. and mentor data science team members, fostering their growth and skill development while delivering impactful insights through data visualizations … the Insurance Domain. in Python or R programming languages, extensive experience with ML algorithms and models, including Regression, Tree-based, Unsupervised, and NLP. of statistical analysis, hypothesis testing, experimental design, and expertise in machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch. If you are interested in … this role, apply now. Keywords: Data Science, Data Scientist, ML, Machine Learning, statistical analysis, Python, Keras, TensorFlow, PyTorch, Insurance, Financial Services. Top of Form 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 »

of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

We are seeking a highly skilled Quant Analyst to join the London team. The ideal candidate will bring a wealth of experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams … optimise trading models and strategies. Here's what you'll be doing: Developing, implementing, and maintaining quantitative models for trading strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to … sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python more »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production 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 »

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 »

of the BI platform to help build out the road map Collaborate with stakeholders to understand their needs and deliver actionable insights Perform data analysis and data validation to ensure data quality and accuracy Gather business requirements into data models and analytical solutions YOUR SKILLS AND EXPERIENCE To be … Power BI, SQL, SSAS, SSMS, and SSIS for the end-to-end process of data Utilising DAX for data modeling Hands on experience of statistical analysis and its implementation in BI models Extensive experience delivering BI solutions working with the BI stack and providing end-to-end BI more »

role in the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and … algorithmic trading, particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

is accurate and extensive enough to be used effectively by anyone in ICT for purposes ranging from support provision through to call review and statistical analysis. About us We currently have a team of six desktop engineers who operate across Trust and community sites. Their collaboration with other ICT more »

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 »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £70,000 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 »