Top Tech Jobs & Startup Jobs in London

Own the end-to-end lifecycle of proprietary private markets data across EMEA, including stakeholder outreach, data acquisition, validation, maintenance, quality improvement, and coverage growth. Build relationships with fund managers, investors, and clients; identify valuable data opportunities; apply analytical judgment and AI-enabled workflows; and contribute to strategic and revenue-generating initiatives while ensuring operational excellence and reliable execution.

Senior individual contributor leading UX strategy for Aladdin's enterprise investment platform. Define platform-level experiences, drive research and prototyping, integrate AI and data-driven workflows, influence product strategy, mentor designers, and champion design systems, accessibility, and measurable business outcomes.

The role focuses on business development, generating subscription revenue, building client relationships, and driving sales efforts in the DACH region.

Lead the strategy, roadmap, and ground-up rebuild of BlackRock’s Dealflow platform for private-markets investors. Partner with engineering, design, data, AI, and client teams to deliver workflow-driven capabilities across sourcing, underwriting, research, portfolio construction, and asset monitoring. Integrate Dealflow with the broader front-office platform, embed AI-powered productivity features, define success metrics, and drive adoption and client satisfaction.

Leads UK digital wealth sales by developing strategic partnerships with investment platforms, banks, fintechs, brokers and robo-advisers. Originates and executes commercial opportunities, expands platform integrations and go-to-market models, translates market intelligence into strategy, and develops client propositions. The role requires senior stakeholder influence, financial product expertise, cross-functional leadership, team mentoring, and responsibility for measurable outcomes including asset growth and product adoption.

The role involves leading solutions architecture for the Aladdin platform, overseeing delivery of cross-functional initiatives, ensuring alignment with architecture standards, and engaging with stakeholders to translate business requirements into technical designs for scalable solutions.

Eight-week quantitative investing internship at BlackRock for specialized master's students. Interns contribute to investment or client projects, support quantitative research and portfolio management, analyze large datasets, translate statistical models into Python, and learn about capital markets, economic theory, portfolio trading, and investment strategies. Opportunities span quantitative research, portfolio management, product strategy, and investment technology across systematic equity and fixed-income teams.

Leads enterprise data stewardship across Technology and Operations, establishing ownership, governance, quality standards, metadata, lineage, controls, and data product practices. Partners with senior business, product, and engineering leaders to scale governance operating models, resolve data risks, manage Data Marketplace onboarding and lifecycle processes, and drive organizational accountability. Mentors federated data stewards and represents data interests in enterprise governance, regulatory, and data strategy initiatives.

Lead data product management for BlackRock’s enterprise Data Marketplace. Define product vision, roadmap, priorities, and delivery plans for onboarding, governance, stewardship, discovery, access, quality, and reusable data capabilities. Own the engineering backlog, align Product, Engineering, Operations, Risk, Compliance, and business stakeholders, and drive adoption through enablement, documentation, demos, and release readiness. Shape AI-ready data and scalable governance capabilities.

Establish and scale data stewardship across Technology and Operations by driving data ownership, governance, metadata, lineage, quality standards, and accountability. Support data product onboarding and lifecycle management within the Data Marketplace, monitor quality metrics, resolve governance gaps and data risks, and collaborate with business, product, engineering, and domain teams to deliver trusted, discoverable, reusable, and AI-ready data products.