3 engineer level 4 jobs found

About this role Preqin is a leading provider of private markets data and analytics and part of BlackRock. It delivers trusted data, benchmarks, and insights that support decision‑making across the full private markets investment lifecycle. With comprehensive global coverage across private equity, private credit, real estate, infrastructure, venture capital, and hedge funds, Preqin brings greater transparency to private markets through rigorous data collection, deep market expertise, and continuously evolving methodologies. Its data and technology underpin how investors raise capital, evaluate opportunities, monitor portfolios, and assess performance at scale. About Company Intelligence Company Intelligence is Preqin's private company data platform, providing structured, auditable company‑level data and analytics across the private markets investment lifecycle. It integrates company, deal, and ownership data with fund, manager, and performance information to deliver a...

About this role About our Platform BlackRock is a global leader in investment management, risk management, and advisory services to institutional, intermediary, and individual investors around the world. We aim to deliver better financial outcomes for our clients through disciplined investing, rigorous research, and a culture grounded in intellectual curiosity and accountability. Fundamental Equities invests through style- or sector- specific, research-driven strategies, combining the breadth of a global platform with the autonomy of specialist teams. Investment teams operate with discretion within a robust risk framework and are accountable for delivering consistent outperformance. About our Team BlackRock's London-based Sector & Thematics equity team is a long-established specialist platform within Fundamental Equities, focused on natural resources and thematic equity strategies. Founded in 1988, the team manages approximately US$37 billion in predominantly...

About this role The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence - playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization. He/She/They lead a multi-team organization of AI agent engineers and data scientists - setting technical and delivery direction, building the team's capability, and holding accountability for the production systems powering the commercialized knowledge products. He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering - bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads. He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering...