26 to 46 of 46 Statistical Analysis Jobs in London

engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML and AI * Statistical analysis skills * Excellent communication skillsThe role pays up to 80,000, depending on the strength of your skill-set. This role is hybrid more »

with regulatory and industry standards Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with colleagues on key policy and methodology development Documentation of risk polices and models to more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance 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 »

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 »

websites - Creating analytical tools using Python/Dash/HTML/JS - Furthering the machine learning tools harnessing AI applications. - Support the Ad-hoc analysis and tasks as per the trading business needs - Reviewing positions risk and initial margin - Hedging FX exposure - Interacting with different parties inside the company … Job requirements: - Bachelor’s/Master’s degree in Science, Economics, Finance - Proficient in Python, with experience in developing APIs, creating Dash applications, performing statistical analysis, and implementing machine learning models - Advanced proficiency in Excel, including array operations, variable naming, and complex formulas - Motivation to learn and to 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 »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working more »

to understand the business goals and vision and align support frameworks to enhance and achieve them.Exceed user expectations and excel at service delivery through statistical analysis, reporting, feedback and service management meetings with colleagues throughout the business.Drive adherence to ensure Service levels are achieved and exceeded, proved through more »

externally (white papers, speaking panels, etc.). Partner with other ML groups inside the company to find hybrid solutions and benchmarks. Additional Requirements: » Performing statistical analysis on financial, climate and other type of data. » Predictive analytics » Conceptual modelling » Creating examples, prototypes, demonstrations » Have the ability to work in more »

requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards and best practices. Requirements: Proven experience 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 »

directed or delegated by the Head of Advanced Therapy Quality assist in Quality Assurance activities relating to allocated projects, including Product Quality Review, and statistical analysis of compiled results. Take on delegated responsibility for quality review of Batch Manufacturing Records and other production records in support of certification more »

and assist with their maintenance. Perform tests on prototypes and circuits, working closely with design engineers to verify new designs and improve testability. Conduct statistical analysis of test results to identify root causes and trends, providing valuable insights for process improvement. Experience and Qualifications: Required: Minimum 3 years 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 »

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal … component analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the more »

to resolve data entry issues and ensure query resolution in a timely manner. Creation of data transfer specifications and provision of data extracts for statistical analysis. Tracking and reporting of study status metrics. Ensuring data management documentation is audit/inspection-ready at all times. Provide data validation and … industry experience Experience of Javascript or SQL Experience with power BI is desirable Excellent attention to detail and ability to apply critical thinking in analysis of data. Excellent written and verbal communication. Experience with clinical databases, understanding of database structures, programming languages, data standards (CDASH/CDISC) and application more »

Technical Data Analyst 4 months contract (Inside IR35) London (hybrid working) Previous Experience Essential: Analysis of data, report writing Desirable: Knowledge of the UK education system IT Literacy Essential: Competent user of word processor (Word), spreadsheets (Excel), and Python or user of SPSS and/or R (and a … Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret complex … data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a meaningful more »

optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »

Planning & Review - Develops the Account Plan in conjunction with the other stakeholders (Service line/HBU mix, revenues, profitability. Develops relationship map, market share analysis); communicates and executes as per the A/c plan; Conducts periodic review of the plan with higher Management in Infosys IN ORDER TO … Requirement: - Knowledge: Knowledge of outsourcing business, cost & revenue drivers for an IT organization, Business case creation, financial ratios and analyses (IRR, NPV, ROCE etc.), Statistical analyses (regression, correlation, mean, median, mode, frequency distributions), and knowledge of legal & contracting issues. Skills: Effective and structured communication skills (consultative skills combined with more »

to join One team, One Kroll. RESPONSIBILITIES:Economic modelling assignmentsAssist the project lead on litigation support assignmentsLead on project workstreamsProvide technical economic and quantitative analysis to lawyers in order to help progress casesAssist clients with disputes in the anti-trust/competition, economic regulatory, shareholder and commercial disputes Depending … consultancy, government or corporate. Economic modelling skills are essential. Should be confident working with very large datasets and preferably have a strong understanding of statistical analyses, regression techniques, market modelling and the application of other economic techniques. Knowledge of statistical packages desirable.Comfortable researching economic, market and regulatory events.Excellent more »