Description
The Aladdin Financial Engineering business is responsible for all analytics technology across the Aladdin platform. We research, develop, and implement state-of-the-art quantitative models used to assess financial risk across fixed income, equities, derivatives, alternative products, and private markets.
Within AFE, the Portfolio and Climate Risk (PCR) modelling team plays a central role in delivering core portfolio risk analytics alongside climate, energy, and transition risk modelling capabilities used across BlackRock's investment platform.
The Portfolio & Climate Risk (PCR) modelling team is responsible for the research, development, and continuous evolution of BlackRock's multi-asset portfolio risk models and climate- and energy-related risk analytics delivered through the Aladdin platform.
The team leads the development of foundational portfolio risk analytics, including factor-based risk models, Value-at-Risk (VaR), tracking error, and stress testing across equities, fixed income, and derivatives. These analytics support portfolio construction, risk oversight, regulatory reporting, and client decision-making, providing a consistent and scalable risk language across investment workflows.
In parallel, the team develops financially grounded climate, energy, and infrastructure risk models, including climate physical risk, energy systems, energy transition, decarbonization pathways, and geospatial analytics. These models are integrated into asset valuation, portfolio monitoring, due diligence, and client reporting, translating complex climate and energy signals into decision-relevant insights embedded across Aladdin platforms.
As a Vice President in the Portfolio and Climate Risk Modeling team, you will provide technical leadership across power market and energy transition modeling while operating within a broader portfolio risk modeling ecosystem. The role combines hands-on quantitative research with strategic ownership of models, stakeholder engagement, and governance. You will help shape modeling roadmaps, mentor junior modelers, and ensure analytics meet the standards required for enterprise-scale investment use.