2 of 2 Data Pipeline Jobs in South London

Role Description: Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementation of common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (such as generic data quality tools over billions of rows of data) or domain specific (such … framework for Global Markets processes). Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative engineers have a combination of software engineering, big data, modelling and management skills and the ability to work across the entire spectrum of … a big data stack - from data to logic to model to UI to UX. Responsibilities Seek opportunities for consistent improvement in quality, efficiency, and processes Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance Provide leadership and oversight to less experienced team members Applying quantitative methods to develop capabilities that More ❯

months (Mid-December start - End of June) Security Clearance : SC Clearance required Overview We're looking for a talented Front-End Developer to join a newly formed Data Team within a public sector organisation. This role is central to building a unified, user-friendly interface - a "single pane of glass" - that consolidates dashboards, reports, and outputs from various … data roles into one cohesive experience. The interface will serve as the primary access point for stakeholders to explore data, monitor performance, and make informed decisions. Key Responsibilities Interface Development :Design and build a centralised front-end application that integrates outputs from dashboards, reports, models, and data pipelines into a single, intuitive view. Accessibility … 2.2 standards, promoting inclusive access for all users. Performance Optimisation :Deliver fast load times, responsive design, and smooth user interactions across devices. Cross-Functional Collaboration :Work closely with Data Analysts, Data Scientists, Engineers, Business Analysts, and User Researchers to understand data outputs and user needs. Data Visualisation :Implement dynamic visual components such More ❯