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职位BlackRock

Portfolio and Climate Risk Modeling Vice President

BlackRock

Portfolio and Climate Risk Modeling Vice President

BlackRock

London, Greater London

·

On-site

·

Full-time

·

1w ago

About this role

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 Black Rock’s investment platform.

Team overview & what we do

The Portfolio & Climate Risk (PCR) modelling team is responsible for the research, development, and continuous evolution of Black Rock’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.

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 Black Rock 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, leveraging Black Rock’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, maximizes the 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.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

Black Rock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at Black Rock.

About Black Rock

At Black Rock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

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关于BlackRock

BlackRock

BlackRock

Public

Multinational investment company.

10,001+

员工数

New York City

总部位置

$114B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.4

职业发展

3.7

管理层

2.8

72%

推荐给朋友

优点

Good compensation and benefits

Learning and growth opportunities

Supportive team and collaborative culture

缺点

Long hours and demanding work culture

High expectations and stress

Management issues and disorganization

薪资范围

4,690个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

VP

Director

Junior/L3 · Data Scientist Analyst

0份报告

$123,312

年薪总额

基本工资

-

股票

-

奖金

-

$104,815

$141,809

面试经验

6次面试

难度

3.3

/ 5

时长

14-28周

录用率

17%

面试流程

1

HireVue

2

Online Assessment

3

Final Round/Superday

常见问题

Technical interviews

Behavioral questions

Role-specific assessments