1,376 to 1,400 of 6,341 Analytics Jobs in London

fraud) and experience supporting technology transformation initiatives Experience working with or supporting emerging technologies within banks, including AI-enabled solutions, workflow automation and advanced analytics Professional certifications such as Business Analysis, Agile, Scrum or Financial Crime qualifications Exposure to modern technology platforms, data solutions and digital transformation programmes What ...

culture. We provide insurance for over four million customers, but we know there’s even bigger opportunity out there – our Pricing, Data and Analytics community values curiosity, collaboration and constructive challenge. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair ...

scale our work in artificial intelligence and machine learning. We hire engineers into multiple product teams (e.g. agentic AI systems, digital twins, advanced analytics platforms). Team placement will depend on your skills and interests. Our teams in QuantumBlack Labs are responsible for designing products that explain complex data landscapes ...

native technologies Eligibility for the UK Security Clearance Preferred Qualifications Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3 Experience with ...

Excel-based) into dynamic Salesforce dashboardsPartner with stakeholders across teams to ensure data-driven decision-makingCreate executive-level reporting and insights for leadership visibilityImplement analytics best practices and ensure data accuracy across reportsUser Management & TrainingManage user access, roles, and permission sets in alignment with data security policiesDeliver training sessions ...

Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

Manage resources and priorities effectively, balancing operational delivery with longer-term capability and process improvements. Experience & BackgroundEssential: Extensive experience in data management, data operations, analytics, or related technical data roles, including 3+ years of direct people management experience. Proven experience as a People Manager, with a track record of building ...

within IQVIA's Security Architecture team. Artificial intelligence and generative AI are transforming how IQVIA operates — from developer productivity and business workflows to data analytics and clinical innovation. As adoption accelerates across the enterprise, the security organization must scale its ability to govern, assess, and enable that adoption responsibly ...

management savvy and the confidence to advise customers as a trusted partner. Education Requirements Bachelor degree or equivalent professional experience in Business, Technology, Finance, Analytics or a related field. Relevant certifications (SaaS customer success, process improvement, Lean Six Sigma) are a plus. Team Context One of three ...

project plans, delivery roadmaps, requirements documentation and status updates. Translate business requirements into clear CRM process, data, reporting, automation, clear documentation and configuration requirements. Analytics, Reporting & Data Quality Use CRM data to identify pipeline issues, process inefficiencies, adoption gaps and data quality risks. Define and improve key CRM metrics, including ...

capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape ...

Experience building workflow, case management, or process automation solutions. Experience integrating Appian with enterprise applications and cloud-based platforms. Exposure to AI-enabled automation, analytics, and modern DevOps practices. Financial Services or regulated industry experience is a plus. Talents Needed for Success: Fosters a culture where honesty and transparency ...

main contentWe use cookies to personalise content and to analyse our traffic. We also share information about your use of our site with our analytics partners. View our cookies page (https://www.mundipharma.com/cookie-policy)# CareersSenior Business Systems Analyst page is loaded## Senior Business Systems AnalystApplylocations ...

Data Science and Cloud Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

above tools and, whenever possible, adopt the company’s standard toolset for source code repository, continuous build and deployment.* Work closely with Quantitative Analytics and Quantitative Development team on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. ...

keeping recommendations practical and aligned to commercial realities. Help shape and deliver our team strategy and roadmap. Identify and drive opportunities for AI, data analytics and automation within insurance and BCDR activities, adopting and embedding new tools, techniques and methodologies where they improve effectiveness, visibility or efficiency. Support our culture ...

Data Science and Cloud Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

derive insights from large-scale system telemetry. Experience working with senior engineering, data science, risk and governance stakeholders. Preferred Exposure to financial data, analytics systems and enterprise-scale data workflows. Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks. Understanding of cloud infrastructure, serverless runtimes, API gateways ...

Strong analytical and problem-solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications ...

driven solutions for signal detection and automated updates. Regulatory Project ManagementProvide strategic oversight for major submissions and regulatory milestonesdevelop project dashboards and predictive analytics for risk managementchampion agile methodologies for faster delivery under submission, excellenceOwn and improve Submission Excellence process & playbook, support IND Excellence projectComplianceSupport inspection readiness for audits ...

care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised ...

data platform the whole company relies on. Data at Gigs cuts across everything: usage events from telecom networks, billing and revenue data, product analytics, and the numbers Finance closes the books with. We build data systems to solve business problems, not for their own sake. You'll make pragmatic technical ...

analysis and solution design standards, methodologies and governance across Public Markets. Identify capability gaps, inefficiencies and transformation opportunities across the investment lifecycle. Embed data, analytics and AI considerations into business processes and solution design, identifying opportunities to improve investment outcomes, operational efficiency and user experience. Build trusted relationships with senior ...

driven recommendations on product mix, client coverage, and desk structure to maximize risk‐adjusted returns under new capital allocation methodologies. Capital Efficiency Optimization & Performance Analytics: Build and maintain frameworks to assess individual trader performance against allocated capital (RAROC, Sharpe ratio, capital velocity metrics).Design and implement risk‐return frameworks that ...

inefficient activities and driving improvement initiatives and governance. Lead and support remediation of high-risk reporting processes and identify opportunities for automation, workflow tools, analytics and reporting technologies. Translate sustainability regulatory and framework requirements into practical reporting processes, controls, templates, data requirements and delivery plans. Support regulatory change implementation through ...