51 to 65 of 65 Data Modelling Jobs in the City of London

deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate … correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware ...

Experience managing and developing product managers, ideally as a player-coach who's stayed hands-on. ✅ Strong technical depth - comfortable with distributed systems, APIs, data models, and infrastructure trade-offs. ✅ Genuine commercial acumen - a track record of tying platform and technical decisions to revenue, cost, and growth outcomes. ✅ Demonstrated ...

recovery of critical database platforms. The successful candidate will be a hands-on technical expert, actively involved in architecture decisions, database design, performance tuning, data reconciliation, and operational support. Key Responsibilities Lead the architecture, design, and implementation of enterprise database solutions on AWS. Design and maintain database schemas, data … Optimise database performance through query tuning, execution plan analysis, indexing, and configuration improvements. Provide hands-on troubleshooting and resolution of complex production issues. Perform data reconciliation, integrity validation, and root cause analysis of data discrepancies. Manage database upgrades, patching, security, monitoring, and capacity management. Work closely with architects ...

internal and external stakeholders Domain Expertise Application Ensure the system supports various insurance products and their unique workflows Understand business domain model and data structure of insurance workflows Champion best practices in policy issuance, endorsements, renewals, cancellations, and reinstatements Optimise system performance for quote-to-bind ratios, straight-through … experience, with at least 3 years in insurance technology Understanding of insurance operations, including underwriting workflows and policy lifecycle management Experience with Business process modelling and process re-engineering Ideally have proven experience with modern Core platforms (BPA, DuckCreek or similar) Strong analytical skills with the ability to interpret ...

Equities Trading, creating capabilities that can be leveraged across Global Markets front, middle, and back office functions. This includes extending CTL's flexible data model to integrate seamlessly with existing production idioms, while meeting the diverse and often complex business requirements of a global 24x7 trading operation, while balancing … security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Develop event‐driven architectures, multi‐stage processing pipelines, and optimized data paths for high‐throughput trade lifecycle management. Partner with engineers, domain experts, and global stakeholders to understand, model, and digitize the firm's business ...

systems for trading application s. Key Responsibiliti es:Develop and maintain robust back-end systems for trade capture and processi ng.Design, implement, and optimise data models and database schemas related to Rates tradi ng.Collaborate with front-end developers, business analysts, and other stakeholders to deliver high-quality financial software … solutio ns.Ensure the performance, quality, and responsiveness of applicatio ns.Integrate third-party APIs and financial data fee ds.Implement and enforce security best practices to protect sensitive financial informati on.Troubleshoot, debug, and upgrade existing syste ms.Write and maintain technical documentati on.Requiremen ts:Bachelor’s degree in Computer Science, Engineering, Finance ...

dynamic team at a leading financial institution and insurance provider in the heart of London. We are seeking a talented individual to enhance our data management capabilities through effective integration of Collibra. Key Responsibilities: Design, develop, and implement data integration solutions within the Collibra platform, ensuring seamless data … flow and accuracy. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Configure and optimise Collibra workflows, rules, and data models to align with business objectives. Troubleshoot and resolve integration issues, ensuring minimal disruption to business operations. Provide technical support and training ...

senior business leaders, understanding reporting and analytics requirements, and translating these into clear deliverables for technical and offshore teams. The role sits within a Data & Analytics environment, supporting reporting and business intelligence solutions for Insurance and Financial Services clients. Key Requirements Stakeholder Management Strong communication and relationship-building skills. … BI. Experience gathering requirements for dashboards, reporting and management information solutions. Able to review reporting outputs and validate they meet business expectations. Understanding of data models, datasets and reporting logic. Insurance/Financial Services Experience working with Insurance domain Min. 7 years of work ...

understanding of Agile principles, especially Scrum or Kanban. Ability to collaborate effectively with engineers and product team. Strong analytical mindset and ability to make data-driven decisions. Excellent communication, coordination, and stakeholder-management skills. Ability to translate business language into technical details. Proficiency with AI tools (such as Claude … Experience with generative AI tools or AI-assisted product features. Understanding of how AI can be applied in enterprise products. Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. Hands-on experience with tools like Jira and Confluence. Experience using intelligence tools for engineering ...

Eaglecliff is seeking a Data Technical Lead with strong Azure Databricks experience to shape our enterprise data platform for energy trading. You will own solution architecture, guide engineering teams, and partner with stakeholders to deliver scalable data products. The role emphasizes streaming data, governance, cost optimization … robust data models for trading workflows. You must communicate clearly, mentor others, and translate business needs into technical roadmaps. #J-18808-Ljbffr ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised … Want to push the limit of digital possibilities? Start here. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking ...

engineering agenda: building on Honeycomb and OpenTelemetry, driving instrumentation across a globally distributed microservices estate, and partnering directly with development teams to turn telemetry data into better, faster software. About the team This role sits within the Observability team, part of IG's broader SRE and Platform Engineering function. … evolve IG’s Honeycomb-centric observability platform, ensuring it is reliable, scalable, and fit for a complex, globally distributed trading environment. Define platform standards, data models, and integration patterns for telemetry collection, storage, and querying across the estate. Instrumentation and telemetry – Drive OpenTelemetry adoption across engineering teams, providing hands ...

Analysis Lead the end-to-end requirements lifecycle, from elicitation through to validation Produce high-quality documentation including BRDs, user stories, process flows and data models Conduct gap analysis (as-is vs. target state) Ensure requirements align with regulatory obligations and business objectives Stakeholder Management Interface with business, product … including: MiFID Solvency II (TPT/QRT) Dutch regulatory frameworks (FTK, MER, MESRAP, CCI) Demonstrated ability to manage multiple workstreams simultaneously Strong requirements gathering, data analysis and documentation skills Excellent stakeholder management and communication capabilities Desirable Experience Experience within asset servicing, custody or fund administration environments Exposure to data ...

proposed solutions and integrations Identifying edge cases, functional gaps and logic flaws before technical delivery starts Documenting current and future state processes, including data flow diagrams and data models Reviewing business and non-functional requirements and pushing back where needed Writing epics and user stories so engineering teams … read a technical design and ask the right questions about it Confident reviewing and commenting on technical designs, solution architecture and integrations Comfortable discussing data flows, SQL and technical architecture Experience with Agile delivery: user stories, acceptance criteria and the full SDLC Comfortable making a reasonable assumption and moving ...

utilise your NoSQL expertise in a fast-paced environment and contribute to enhancing fraud detection capabilities. Key Responsibilities: Design & Implement: Craft Cassandra keyspaces, data models, and cluster architecture tailored for a high-throughput fraud detection platform. Collaborate: Work closely with application and middleware teams, ensuring seamless data integration … alignment with business goals. Optimise: Take ownership of keyspace design, performance tuning, and operational readiness of the data platform. Documentation: Produce essential design documentation and operational runbooks for effective knowledge transfer. What You'll Bring: A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. ...