Top Tech Jobs & Startup Jobs in London

Coordinates sponsorship and ticket requests, allocations, approvals, catering orders, client nominations, master data, and event trackers. Serves as a first point of contact for business stakeholders, maintains sponsorship information, communicates opportunities and updates, and supports event planning and occasional onsite delivery. The role requires strong organization, prioritization, judgment, problem-solving, stakeholder communication, and proficiency with Microsoft Word, Excel, and SharePoint.

Own delivery of capital data products from sourcing and ingestion through transformation, controls, and distribution. Translate capital reporting and measurement needs into product increments, backlogs, user stories, data quality rules, schemas, metadata, lineage, and operational requirements. Partner with engineering, governance, and capital stakeholders to improve data reliability, usability, regulatory controls, and AI readiness. Support agile delivery, consumer enablement, stakeholder communication, and potential progression into a Data Product Manager role.

Own the roadmap, delivery, launch, operational readiness, and production performance of international payments capabilities across the UK and Europe. Translate European payments and regulatory requirements into testable requirements, manage risks and dependencies, lead vendors and stakeholders, track product KPIs, and drive stable customer outcomes. The role also mentors product and delivery leaders and applies AI tools responsibly within a controlled, auditable banking environment.

Supports Finance project delivery from requirements gathering through testing and implementation. Responsibilities include documenting business and functional requirements, coordinating UAT and defect tracking, supporting data migration and cutover readiness, tracking milestones and risks, maintaining governance materials, and facilitating communication among Finance, Operations, Technology, and business stakeholders.

Supports control framework maintenance, governance forums, regulatory reporting, issue remediation, and business change delivery. Coordinates stakeholders, tracks actions and deadlines, maintains documentation and JIRA records, assists with testing and implementation, prepares management reporting, and identifies process and data quality improvements.

Develop and implement pricing, risk, and quantitative trading models for EMEA rates exotics. Partner with trading, technology, and model risk teams to translate product ideas into production-ready solutions, automate workflows, analyze market data, document models, and support governance approval. The role also sets technical direction, coordinates business priorities, maintains strong risk controls, and mentors junior quantitative professionals.

Serves as a trusted HR advisor to managers, providing coaching and guidance on talent, performance, compensation, workforce planning, engagement, and organizational effectiveness. Assesses complex or sensitive situations, coordinates with HR specialists, supports enterprise initiatives, improves ServiceNow workflows and digital advisory experiences, and identifies recurring themes to enhance operating model effectiveness and manager and employee experiences.

Lead the operating model for AI and data governance requests across HR and Employee Experience. Manage coordinator teams, intake, triage, routing, SLAs, backlog reduction, escalations, reporting, and approval readiness. Support high-risk use cases through documentation, reviews, remediation, approvals, and closure. Develop governance playbooks, procedures, checklists, templates, and training while partnering with HR, technology, data, risk, legal, compliance, privacy, and governance stakeholders.

Leads equities operations control management, including risk assessments, audit coordination, root cause analysis, remediation, control metrics, governance, and regulatory reviews. Partners with Operations, Audit, Compliance, Technology, and regulatory stakeholders to strengthen controls. Uses Tableau, Qlik, Alteryx, Xceptor, and automation to analyze risks, improve processes, and enhance operational excellence.

Conduct commercially oriented AI/ML research across areas such as synthetic data, foundation models, reinforcement learning, multimodal AI, multi-agent systems, formal reasoning, and privacy-preserving machine learning. Formulate research problems, develop algorithms and models, run experiments, evaluate results, write high-quality Python code, communicate findings, and contribute to production-scale financial services applications.