Data jobs in Glasgow

What you would do

• Deliver periodic and bespoke quantitative analyses of portfolio exposure, risk, and performance.
• Collaborate with global client coverage teams to answer client questions on factor analysis of hedge fund portfolios.
• Prepare custom client reports involving risk and performance calculations.
• Build automation to scale bespoke client solutions using R/VBA or IT solutions.
• Contribute to ideation and development of new products for the pre-trade quant offering and systematic content generation.

Skills

What you would do

• Execute software solutions, design, development, and technical troubleshooting.
• Create secure, high-quality production code and maintain algorithms.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
• Validate outputs through peer review, automated testing, and secure coding standards.
• Contribute learnings and reusable patterns to enhance team effectiveness.
• Apply knowledge of tools within the Software Development Life Cycle toolchain.

Skills

What you would do

• Analyze large datasets to extract actionable insights and drive data-driven decision-making.
• Evaluate and harden AI-powered use cases on enterprise platforms, defining and applying evals and production drift monitoring with automated data profiling and quality checks.
• Select and apply models end-to-end across ML, deep learning, and LLM-based approaches, including training, tuning, calibration/thresholding, robustness testing, and structured error/failure-mode analysis.
• Co-develop and implement LLM-based models and algorithms to solve complex operational challenges.
• Ship reusable enablement assets (playbooks, templates, reference implementations) and improve them via production telemetry and incident feedback.
• Collaborate with technology groups to translate business needs into technical AI solutions.

Skills

What you would do

• Produce trusted performance reporting, KPI analysis and actionable insights for HAFS leaders.
• Deliver day-to-day performance metric and KPI reporting and analytics for assigned functional areas.
• Interpret key business drivers within a shared services environment.
• Provide metric and KPI reporting, data analytics and insight to support a customer promise-led delivery model.
• Support data integrity and delivery of reliable, actionable performance analytics.
• Collaborate with internal and external business partners and stakeholders.

Skills

What you would do

• Work as part of the wider project team to deliver AI solutions to clients.
• Assist in defining business requirements and identifying opportunities where AI can improve outcomes.
• Support the design, development and deployment of AI-powered applications and services.
• Work alongside Machine Learning Engineers, Data Scientists and Consultants to build innovative solutions.
• Contribute to the development of cloud-native AI products using Microsoft technologies.
• Support AI solutions through testing, UAT and production deployment.

Skills

What you would do

• Lead digital delivery across multiple projects and frameworks in Scotland, acting as the digital lead and ensuring teams are equipped with the right tools, methods and capabilities to deliver.
• Develop and implement digital optimisation strategies in collaboration with the core digital team, translating strategy into owned, deliverable workplans.
• Advise clients on digital transformation approaches, including data governance frameworks, operating models, platform adoption and roadmap development.
• Engage with Client Account Managers across Scotland to identify digital opportunities, support client relationships, and define delivery requirements.
• Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements.
• Identify automation and digital innovation opportunities within project delivery, working with teams to develop Minimum Viable Products (MVPs) with scaling potential.

Skills

What you would do

• Design, develop and maintain Power BI reports and dashboards.
• Work with stakeholders to understand reporting requirements and translate them into user-focused visualisations.
• Carry out complex data analysis and synthesis using various methods and tools.
• Produce written and verbal data analysis outputs for technical and non-technical audiences.
• Run meetings and workshops on data analysis, reporting and visualisation.
• Peer review data analysis output of colleagues.

Skills

What you would do

• No role-section work content is provided in the job description; only mobility, immigration, and advert closing notes are present.

Skills

What you would do

• Analyse data and identify trends.
• Support risk assessments.
• Review controls.
• Improve business processes.
• Help colleagues make evidence-based decisions.
• Contribute to a 10-month collaborative project with other Industrial Placement students.

Skills

What you would do

• Deliver coaching, training and development across all sales distribution channels.
• Design and deliver onboarding and continuous learning programmes for new and existing employees.
• Conduct call listening, side-by-side coaching and performance reviews.
• Provide actionable feedback and follow-up coaching plans.
• Partner with Team Managers to identify capability gaps and create targeted development solutions.
• Analyse sales performance data, advisor behaviour and customer trends.

Skills

What you would do

• Own and prioritise product backlogs aligned with product strategy and business value.
• Translate business and technical needs into epics, user stories, acceptance criteria, process flows, and non-functional requirements.
• Partner with Product Managers and Engineering to shape roadmaps, sequence capabilities, and manage dependencies.
• Lead backlog refinement, sprint planning, reviews, and UAT.
• Use AI-enabled tools to create prototypes and demonstrations.
• Define data and content capabilities for discovery, access, integration, and reuse.

Skills

What you would do

• Support delivery of end-to-end automation solutions across Finance to reduce manual effort.
• Identify and assess automation opportunities, gathering requirements and translating business needs into practical solutions.
• Build and maintain solutions using Alteryx, Qlik Sense, and Copilot.
• Assist citizen developers by troubleshooting, answering queries, and sharing best practices.
• Develop and maintain prompt libraries and support AI adoption.
• Track project progress using Wrike.

Skills

What you would do

• Design, develop, and troubleshoot software solutions in Python.
• Create secure, high-quality production code and maintain algorithms integrated with data and ML systems.
• Produce architecture and design artifacts for complex applications.
• Gather, analyze, and synthesize large datasets to build visualizations and reporting.
• Identify hidden patterns in data to improve coding hygiene and system architecture.
• Collaborate with data scientists and platform engineers on ML/AI solution development and deployment.

Skills

What you would do

• Assist with the strategy, development, and execution of marketing and transactional email campaigns, mobile in-app messaging and push notifications using Braze.
• Support creative solution improvement of design, process, or technical challenges related to email and mobile projects.
• Monitor and analyse key performance metrics for email and mobile marketing and transactional campaigns to generate insights and recommendations for campaign optimisation.
• Establish partnerships with outside vendors, internal constituents, and other departments to support collaborative communication.

Skills

What you would do

• Work with product managers, data scientists, and ML engineers to understand requirements and prioritize use cases.
• Design, develop, and deploy AI/ML/LLM/GenAI solutions.
• Manage, mentor, and guide a team of ML and MLOps engineers.
• Develop automated pipelines for model deployment.
• Fine-tune generative models for NLP use cases such as summarization and text generation.
• Evaluate generative models (e.g., GPT-5.5), iterate on architectures, and improve performance.

Skills

What you would do

• Design and implement modern web dashboards and end-to-end workflows transforming engineering data into actionable insights.
• Build and operate reliable data pipelines ingesting, transforming, validating, and publishing metric datasets, integrating with platforms such as Databricks.
• Design, build, and maintain secure, scalable backend services and REST APIs for metric consumption.
• Define and validate metric logic, perform exploratory and trend analysis, and translate findings into dashboard narratives.
• Partner with engineering teams and stakeholders to align on performance benchmarks and metrics strategy.
• Implement CI/CD pipelines, automated testing, secure coding standards, and code review practices.

Skills

What you would do

• Design and develop modular, maintainable AI systems and interfaces aligned to Infrastructure platform standards, optimizing for scalability, resiliency, and long-term operability.
• Partner with Applied AI/ML, Data Science and Cybersecurity engineers to develop secure AI solutions for Infrastructure Platforms.
• Create secure, high-quality production code and review and debug code written by others.
• Evaluate AI solution approaches from an engineering standpoint to improve design and code quality.
• Influence peers and project decision makers to adopt leading-edge technologies.
• Drive team adoption of enterprise AI-assisted engineering practices, establishing validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.

Skills

What you would do

• Advise and manage employee relations issues considering best practice, legislative frameworks, and commercial outcomes.
• Liaise with the Employee Relations team, Employment Law, and external counsel.
• Partner with the HR Business Partner team on Year-End initiatives such as compensation decisions, promotion roundtables, and performance management processes.
• Manage and advise on Occupational Health cases with consistency and risk management.
• Provide timely, accurate data analytics and reporting to support decision making.
• Collaborate with hiring managers, Recruitment, and Compensation teams on recruitment activities.

Skills

What you would do

• Lead the design, build and deployment of end-to-end AI solutions surfacing actionable insights for business groups.
• Drive R&D for new and existing AI products, setting technical direction and standards.
• Engage with stakeholders to translate business requirements into robust technical solutions.
• Oversee the full product and software development lifecycle including architecture, design, coding, testing, peer review, CI/CD and validation.
• Mentor junior team members through knowledge sharing, pair programming, collaborative debugging and design workshops.
• Source, analyze and integrate diverse data sources.

Skills

What you would do

• Define product vision, scope, and success measures; translate business objectives into use cases, workflows, wire-frames, and product requirements.
• Lead cross-functional delivery across distributed technology and operations teams, managing dependencies, risks, and trade-offs.
• Partner with global stakeholders to shape and execute the roadmap, run governance routines, and ensure delivery meets deadlines and budget constraints.
• Integrate customer feedback, data analytics, product metrics, user experience research, and market analysis to drive prioritization decisions.
• Own and refine the feature backlog with a commercially-minded approach, communicating rationale to senior stakeholders.
• Build and present executive product updates including OKRs/KPIs, adoption metrics, delivery milestones, and financial forecasting.

Skills