Description
The Model Portfolio team within Multi-Asset Strategies & Solutions (MASS) at BlackRock is seeking a highly analytical Vice President to support the ongoing management and evolution of their model portfolio platform.
This position is a hybrid role spanning portfolio management, investment analytics, and technology enablement, with a strong emphasis on leveraging Artificial Intelligence (AI) and data-driven solutions to enhance research, analytics, and investment decision-making.
Responsibilities:
- Support daily portfolio operations while advancing scalable capabilities across performance measurement, attribution, risk analysis, and workflow automation.
- Collaborate with Portfolio Managers to execute portfolio changes resulting from asset allocation updates and model enhancements.
- Utilize internal risk and compliance tools to ensure portfolios remain aligned with established investment objectives.
- Contribute analytical insights that support portfolio construction, investment oversight, and model evolution.
- Own performance analysis across model portfolios, with a focus on benchmark-relative returns, implementation effects, and portfolio outcomes.
- Design, maintain, and enhance multi-asset attribution and risk analytics to support robust portfolio evaluation.
- Translate complex analytical outputs into clear, actionable investment insights to support business and investment decision-making.
- Develop scalable reporting frameworks and visualization capabilities that improve transparency into portfolio performance, risk, and exposures.
- Develop Python-based tools and automated workflows to support scalable portfolio analytics.
- Leverage internal data platforms, including Aladdin and SQL-based data sources, to improve the efficiency, scalability, and quality of analytical processes.
- Apply AI/LLM technologies, prompt engineering, and workflow automation techniques to streamline research, reporting, and investment analysis.
- Design and implement AI-enabled analytical solutions that enhance portfolio insights, decision-support capabilities, and operational efficiency.
- Partner with technology and business stakeholders to evaluate emerging AI capabilities and identify opportunities to improve investment workflows.
Requirements:
- Bachelor's degree in Finance, Economics, Data Science, Engineering, Computer Science, or another quantitative discipline.
- Strong understanding of portfolio management, performance evaluation, attribution, and risk analytics.
- Proficiency in Python and experience working with structured datasets, including SQL.
- Strong analytical and problem-solving capabilities, with the ability to translate data into actionable business insights.
- Experience applying AI and LLM technologies to analytics, workflow automation, research, reporting, or business insight generation.
- Experience with model portfolios, asset allocation, or multi-asset investment strategies.
- Familiarity with portfolio analytics platforms, risk models, or investment technology platforms.
- Experience developing AI-enabled analytical tools, automation frameworks, agents, or decision-support capabilities.
- Exposure to data visualization and reporting tools such as Power BI.
- Progress toward a Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), or similar professional designation.
Benefits:
- Competitive salary: $155,000 - $210,000 per year
- Annual discretionary bonus
- Comprehensive healthcare
- Leave benefits
- Retirement benefits
- Tuition reimbursement
- Flexible Time Off (FTO)