Portfolio and Climate Risk Modeling Vice President

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.

Key Responsibilities: 

• Develop and maintain models for power market analytics, comprising dispatch, balancing/reserve market, price and revenue calculation, reporting and visualization.

• Develop and maintain the Aladdin Transition Scenario Engine underpinning the BII Transition Scenario in partnership with the BlackRock Investment Institute (BII). Conduct research and develop data pipelines to ensure BIITS reflects the latest technology, policy and macro-economic developments, in line with our investment platform views.

• Conduct research using data science and AI/ML techniques to enhance analytics, create investment signals or thought leadership papers.

• Engage with stakeholders (investors, governance) to facilitate adoption of these analytics into the investment process.

• Perform & implement complex quantitative calculations with high accuracy and performance, leveragingBlackRock’s content experts and modelers.

Skills & Qualifications: 

• Bachelor or master’s level education in Computer Science, Engineering, or a related discipline.

• Minimum 3+ years of experience in energy modelling, with a preference for energy systems or power market modelling.

• Formidable analytical, problem-solving, and critical thinking skills.

• A passion for providing fundamental software solutions for highly available, performant full stack applications with a “Student of Technology” attitude.

• Demonstrates enthusiasm for teamwork, multitasking and effective communication within a collaborative, fast-paced environment.

• Exhibits strong individual productivity, including the ability to work independently, maximizesthe impact of the work delivered, quickly adapt, self-motivate and efficiently learn new skills.

Familiarity with following areas is essential:

• Power market modelling (dispatch, capacity expansion),

• Optimization (LP, CPLEX) and Machine Learning,

• Python development (PyPSA, scikit-learn, streamlit, polars) using git,

• Data analytics & content research,

• Exposure to integrated assessment models.

Familiarity with following areas is desirable:

• GenAI is used very widely across a range of activities: drafting code and documents, researching and summarizing information to name a few,

• Exposure to model development lifecycle including interactions with stakeholders and partners (investors, governance, software engineers and product designers),

• Exposure to private assets modelling.

Good to Have 

• Understanding of Agile Software Development Life Cycle underpinned by Azure DevOps.

• Knowledge of investment process, climate risk particularly transition risk & decarbonization analytics.

• CFA/FRM preferred.