1,326 to 1,350 of 6,356 Analytics Jobs in London

will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website ...

products. Collaborate closely with front office, risk, operations and technology teams to automate workflows and improve execution efficiency. Design and implement real-time analytics and reporting systems, including dashboards and operational monitoring. Integrate data sources (market data, positions, risk metrics) into scalable services and visualisation layers. Optimise performance and reliability ...

Company DescriptionWNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail ...

external systems, modelling and reconciling it into a reliable platform layer, then building the APIs that make it available to customer-facing applications, analytics and reporting. You’ll work on: Building and orchestrating ingestion pipelines for complex financial data Designing scalable data models across relational, NoSQL, blob and Delta Lake ...

role. ResponsibilitiesOwn the reliability, performance and scalability of Fuse's database infrastructure across Postgres and ClickHouseBuild and maintain scalable, reliable data pipelines to support analytics, reporting and product needsOwn the design and evolution of analytical schemas, translating business logic into structured, intuitive data modelsMigrate and transform data from Postgres into ...

influence decisions Strong attention to detail and analytical attention Experience with Power BI or Tableau would be beneficial Experience within financial services, commercial analytics, consulting or research environments would be advantageous What you'll get in return for your experience This role offers a base salary of up to £ depending ...

access management. Azure networking, including Virtual Networks, VPNs, NSGs, Private Endpoints and ExpressRoute. Windows Server and Linux administration within cloud environments. Azure Monitor, Log Analytics and cloud monitoring solutions. Cloud security best practices, including RBAC, Key Vault, Defender and vulnerability management. Experience supporting enterprise infrastructure and business‐critical applications. Strong ...

Ensure alignment with the bank’s internal risk, audit, and compliance requirements.· Support program governance reviews and follow-up action management.2. Program Reporting, Insights & Analytics· Consolidate inputs from all workstreams to produce accurate weekly and monthly governance reports and executive-level packs.· Maintain dashboards tracking milestones, progress, risks, dependencies ...

Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis. Build and maintain containerised data and analytics applications , including dashboards and data tools. Implement and manage workflow orchestration and scheduling to ensure data pipelines and jobs are observable, reliable and maintainable. Apply ...

secure, stable, and scalable way. The Execution Services Technology department seeks a DevOps team member to support the latency of Electronic Trading, Data Analytics and Quant environments. The role will be based in London and will involve close collaboration with the London Business and our global partners. Job responsibilities Regularly ...

continuous improvement What You’ll Do Lead the end-to-end delivery of enterprise Databricks solutions. Design scalable architectures across data engineering, governance, analytics, and AI. Deliver modern Data & AI solutions including Unity Catalog, Databricks Apps, Genie, AI Agents, and platform modernization. Partner with Databricks Professional Services and client stakeholders ...

pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms About Arrive Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries ...

reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models Migrate and transform data from Postgres into ...

data engineering teams, and ensure that AI‐ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions. Responsibilities Semantic Layer Implementation Implement ...

seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems. You will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will underpin Movar's mission to enable data-driven transformation across critical UK industries. Core Responsibilities Design ...

analysis of spend data across sectors, regions and business units to improve visibility and decision making. Partnering with category managers to deliver reporting and analytics that support category strategies across direct and indirect spend areas. Identifying cost optimisation and savings opportunities through detailed spend analysis and market data interpretation. Reviewing ...

domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable ...

built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. ...

asset audits and reconciliations across multiple data sources. Develop and maintain asset management processes in line with organisational standards and policies. Produce reporting and analytics to support decision-making and operational effectiveness.Procurement & Vendor Management• Manage day-to-day procurement of IT hardware, software, SaaS applications, and cloud-based services. Process ...

sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data‐driven decision‐making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data ...

company objectives. Manage KPIs and OKRs, provide insights for improvement, and support product development. Experience & Background Essential: 8+ years of experience in data management, analytics, or related roles, including 2+ years of direct people management experience. Subject Matter Expert (SME)-level knowledge of the maritime industry, including vessel data, shipping ...

data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions.... Responsibilities: Semantic Layer ImplementationImplement JSON ...

Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized ...

Derivatives Commodities Strong knowledge of trading data and its movement across Front Office systems. Data Platforms & Architecture Experience delivering large-scale data and analytics initiatives. Strong understanding of: Data Lakes Databricks Cloud data platforms Data governance frameworks Data lineage and controls Experience integrating complex data sources into surveillance or compliance ...

work should influence real decisions. Your skills and experience The successful candidate will have: Three or more years of commercial Data Science or applied analytics experience. Strong Python skills, including pandas, scikit-learn and common Data Science libraries. Advanced SQL skills and experience working with large or varied datasets. Commercial ...