About this roleYour TeamThe Model Portfolio team within Multi-Asset Strategies & Solutions (MASS) is seeking a highly analytical Associate to support the ongoing management and evolution of our model portfolio platform. The team plays a critical role in delivering scalable investment solutions and developing innovative capabilities that improve portfolio construction, implementation, and oversight across a broad range of client portfolios.
Your Role and ImpactThis 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. As an Associate, you will work at the intersection of portfolio management, investment analytics, and emerging technologies. You will support daily portfolio operations while advancing scalable capabilities across performance measurement, attribution, risk analysis, and workflow automation. Your contributions will directly influence investment decisions, operational efficiency, and the continued evolution of the model portfolio platform.
Your ResponsibilitiesIn every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
Portfolio Management- Support the ongoing management of model portfolios, including monitoring portfolio positioning, facilitating rebalances, and evaluating implementation outcomes.
- Collaborate closely 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.
Financial Analytics- 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.
Technology & AI Enablement- 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.
Your Experience- 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.
Why This Role- Gain direct exposure to model portfolio management within a leading asset management firm and a rapidly growing business.
- Help shape the future of AI-enabled investment analytics and portfolio intelligence.
- Build innovative tools and analytical capabilities that directly influence investment decisions and client outcomes.
- Work at the intersection of portfolio management, analytics, and emerging AI technologies.
- Benefit from a clear and well-defined long-term growth path within the Model Portfolio Management track.
For San Francisco, CA and New York, NY Only the salary range for this position is USD$155,000.00 - USD$210,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work modelBlackRock'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 BlackRock.
Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided
guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
