Top Tech Jobs & Startup Jobs in London

Build talent pipelines for Global Payments roles through market mapping, candidate research, passive candidate outreach, and sourcing strategy. Partner with recruiters and hiring managers to define profiles, support screening handoffs, provide market intelligence, and improve search outcomes. Track outreach, funnel conversion, and pipeline activity in ATS and sourcing systems while maintaining data integrity, confidentiality, and strong stakeholder relationships.

Leads liquidity reporting and regulatory change initiatives within Corporate Treasury Middle Office. Responsibilities include managing regulatory and audit deliverables, resolving reporting issues, improving controls and data quality, developing business requirements, testing data and reports, coordinating technology implementations, analyzing large datasets, and presenting findings to senior stakeholders and regulators. The role uses data and cloud technologies to modernize liquidity reporting and governance.

Develop and deliver production AI/ML solutions across the full lifecycle using Agile methodologies. Translate business requirements into technical specifications, build secure production code and algorithms, create architecture artifacts, analyze large datasets, develop visualizations, troubleshoot systems, and identify improvements. The role requires expertise in machine learning, Python, Spark, distributed computing, AI frameworks, agentic workflows, and AWS services, while contributing to engineering communities and emerging technology initiatives.

Own regional sourcing strategy for Global Markets, including talent mapping, passive candidate engagement, market intelligence, outreach, screening support, and pipeline development. Partner with recruiters and senior hiring managers to define profiles, manage candidate experience, track funnel performance, and adjust strategies using data. Maintain ATS records, documentation, and data integrity while supporting senior and confidential hiring initiatives across multiple searches and geographies.

Design human-AI interactions and digital experiences for Operations, from concept through production. Partner with Data Science, Technology, and Operations teams to present and explain AI/ML outputs within workflows. Develop accessible, inclusive solutions using information architecture, storyboarding, prototyping, user feedback, research, and data-driven insights across web, mobile, and other platforms.

Lead and scale a global HR Analytics Advisor team that partners with executives and HR leaders to turn workforce data into actionable decisions. Responsibilities include proactive and ad hoc analytics, executive storytelling, workforce risk and talent insights, HR process integration, self-service reporting, predictive modeling, data governance, and defining advisory operating models and success metrics.

Manage end-to-end leveraged loan transactions: review and negotiate syndicated facility and ancillary legal documentation, liaise with clients, internal stakeholders and external counsel, oversee deal-closing, enforce controls, and drive process-improvement initiatives.

Lead cross-pillar program governance and execution for Risk Technology. Define program frameworks, drive delivery, manage dependencies, surface and mitigate risks, and promote AI-assisted, data-driven governance and continuous improvement across engineering and corporate technology stakeholders.

Lead the design and development of production-grade agentic AI applications for Markets Operations. Build reusable AI architecture patterns, orchestration frameworks, context management, evaluation pipelines, guardrails, APIs, infrastructure, and monitoring. Partner with researchers, engineers, data scientists, and operations stakeholders to deliver secure, reliable, compliant AI solutions. Drive continuous improvement, document technical decisions, influence architecture, and mentor engineers.

Conduct quantitative research for systematic trading and financial markets. Develop mathematical models, algorithms, and infrastructure to price, hedge, and trade financial products. Perform alpha research, model calibration, portfolio optimization, and risk management while collaborating with traders, technologists, sales, marketing, and risk teams. Translate research into trading applications and communicate findings clearly. The program includes hands-on training and may lead to full-time employment.