# Vice President, Model Portfolio Management

**Company**: BlackRock
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $155,000 - $210,000
**Category**: Finance
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/New-York-NY/Vice-President--Model-Portfolio-Manager--Multi-Asset-Strategies---Solutions--MASS-_R266288?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## 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)

## Skills

### Required
- Python
- SQL
- Artificial Intelligence
- Machine Learning
- Data Analysis
- Portfolio Management
- Risk Analytics
- Performance Evaluation
- Attribution

### Nice to have
- Power BI
- Data Visualization
- Reporting Tools
- Chartered Financial Analyst (CFA)
- Financial Risk Manager (FRM)

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