51 to 75 of 120 Analytics Jobs in Glasgow

JPMorganChase in Glasgow seeks a Software Engineer III in Investment Banking Data Products to design and deliver reliable data pipelines, analytics solutions, and secure, scalable data architectures. You’ll collaborate with talented engineers to move data smoothly from source to insight. You’ll develop Python and Databricks workflows, review controls ...

JPMorganChase is seeking a Data Engineer in the Corporate Technology team to build and deliver scalable data pipelines and analytics solutions that power AI initiatives across the firm. You will maintain critical data architectures, collaborate with global teams, and drive improvements in data quality, governance, and operational stability while aligning ...

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Technology Data and Analytics Services team. You will own end-to-end components for a greenfield platform connecting data mesh and AI tools, designing ingestion pipelines to governed retrieval services, and mentoring teammates. You will work hands ...

create solutions that support business objectives and drive continuous improvement. You will lead end-to-end delivery across Python-based services, data pipelines, and analytics, contributing to a culture of inclusion and opportunity while advancing your skills in a dynamic #J-18808-Ljbffr ...

price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines Write and maintain comprehensive unit, baseline, and parameterized tests Investigate and remediate security vulnerabilities; support audit remediation efforts Operate with ...

internal forums and communities of practice Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks Collaborate with your team to identify comprehensive service level indicators and partner with stakeholders ...

retail stores, we help deliver results while improving worker safety and meeting sustainability goals such as reduced carbon emissions - by leveraging connectivity, advanced data analytics, software, robotics, sensors, process automation and asset performance management solutions. We Enable our Customers to Enhance the Safety, Sustainability, Resilience and Productivity of their People ...

price verification and valuation adjustment workflows across asset classes Develop consensus pricing solutions integrating with external market data providers Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines Write and maintain comprehensive unit, baseline, and parameterized tests Investigate and remediate security vulnerabilities; support audit remediation efforts Operate with ...

exerts technical influence throughout your team Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets ...

Measure/Analyze phases to quantify performance and root causes before designing solutions Partner with BI to build automated dashboards and self-service analytics that reduce manual reporting effort Track KPIs tied to efficiency gains (hours saved, error rates, cycle time reduction) Audit processes post-implementation (Control phase) to sustain ...

will be responsible for assigned day-to-day activities within the HAFS Performance Governance function. The role will provide metric and KPI reporting, data analytics and insight to support a customer promise-led delivery model. Position Summary Under the direction and guidance of the Manager, HAFS Performance Governance, the post … holder will play a key role in executing HAFS’s metric reporting and analytics strategy to support delivery against business requirements. They will help provide a seamless, efficient and customer-focused experience that maximises output without compromising service quality. The post holder will assume day-to-day responsibility for delivering ...

have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security … enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data ...

tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Enterprise Data & Analytics (EDA) Financial Services team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation … workstream within someone else’s programme.• AI delivered into production, not just piloted. You can describe at least one AI or advanced analytics capability you took from concept into live operational use, including what went wrong along the way and how you dealt with it.• Financial Services experience. Experience delivering ...

Head Resourcing Ltd. is seeking an experienced Data Architect (Contract) to lead the design and governance of scalable, secure data architectures across reporting, analytics, and AI initiatives within a Glasgow-based public sector environment. You will collaborate with Data Engineers, Product Owners and stakeholders to deliver trusted data solutions ...

senior role provides scope to influence strategy, drive technology decisions and connect compliance, risk and operations through enterprise architecture, APIs, cloud platforms and data analytics, while ensuring security, resilience and auditability in a regulated setting. #J-18808-Ljbffr ...

will work across the full data journey, bringing data from external sources into Azure, using Microsoft Fabric to structure data for reporting and analytics, and collaborating with Salesforce integrations. #J-18808-Ljbffr ...

build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows. Candidates should be strong in Python, ML techniques, and data visualization, with experience in PySpark and SQL. ...

exerts technical influence throughout your team Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets ...

teams and IP Resiliency Governance to define and track remediation steps and timescales Review and attest to substantiation data within the Enterprise Resiliency Management & Analytics platform for CFP applications, supporting User Acceptance Testing for technology and business releases Serve as the primary point of contact for Technology Lifecycle Maintenance, Tech ...

crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/… data privacy, security, and regulatory requirements. Support audit and risk management activities related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking click apply for full job details ...

data strategy with business goals, and ensure architectural integrity and commercial viability. The role requires deep knowledge of Data Lakehouses, Data Mesh, real-time analytics, and GenAI/MLOps, with a proven ability to scale #J-18808-Ljbffr ...

Engage directly with SPT Connections teams to identify and solve business challenges • Translate technical outputs into simple, usable solutions Requirements • Strong experience in AI, analytics, automation or digital solution delivery • Ability to rapidly prototype and deploy practical solutions • Strong project delivery capability Knowledge of technologies and common • Packaged Platform/ ...

developments, and collaboration with stakeholders across the bank to provide recommendations for change and improvement within performance and optimisation processes. Development and implementation of analytics and reporting performance & optimisation to mitigate risks and maintain efficient operations. Identification of capacity creation in operations using data and Management Information. Assistant Vice President ...

organisation. The position is responsible for bringing together data from multiple systems into a single, trusted source that can be used for investigations, reporting, analytics, controls, risk management and future automation initiatives. The successful candidate will combine strong technical data skills with a solid understanding of financial crime processes … quality and fewer manual interventions. Improved reporting and operational visibility. Reduced risk through stronger controls and more consistent data. Data foundations that support future analytics, automation and AI initiatives. A well‐established engineering function with clear standards, documentation and governance. #J-18808-Ljbffr ...