Model Portfolio Manager, Vice President – MASS

BlackRock•Atlanta, GA

20d•$140,000 - $210,000•Hybrid

About The Position

BlackRock’s Multi-Asset Strategies & Solutions (MASS) Model Portfolio team builds and manages investment solutions for a growing and increasingly customized client business. The team combines portfolio construction, asset allocation, investment implementation, analytics, and technology to deliver model portfolios across a broad range of investment objectives. The platform includes multi-asset portfolios using exchange-traded funds (ETFs) and mutual funds, as well as equity-focused implementations. The team is developing advanced monitoring and analytics, automating repeatable processes, and applying AI capabilities to support customization, scalability, and investment oversight. As a Vice President on the Model Portfolio team, this role contributes to portfolio management, investment analytics, and platform innovation. The position helps improve investment decisions, strengthen implementation quality, enhance transparency, and build scalable processes for customized portfolio solutions. It requires translating investment challenges into practical solutions and partnering across investment, analytics, engineering, risk, data, and operations teams.

Requirements

Demonstrated experience in one or more of the following areas: portfolio management and investment implementation, performance and risk analytics, or software engineering and data-driven workflow development.
Strong understanding of investment concepts including asset allocation, portfolio construction, financial markets, risk management, and portfolio exposures, or the ability to develop this expertise within an investment management environment.
Excellent quantitative and analytical problem-solving skills, including the ability to work effectively with financial, portfolio, and other complex datasets.
Experience using Python and related analytical tools to solve complex business problems.
Ability to identify operational and investment risks, assess output quality, and design or follow effective controls within investment processes and automated workflows.
Ownership mindset and ability to take ambiguous problems through execution, collaborate across technical and non-technical stakeholders, and communicate insights clearly.
Curiosity about emerging technologies, automation, and AI, and willingness to develop expertise across investment management, analytics, and technology domains.

Nice To Haves

Familiarity with structured data, SQL, and scalable workflow development.

Responsibilities

Manage and support model portfolio investment processes, including portfolio construction, positioning, monitoring, rebalancing, and implementation of asset allocation and investment strategy changes.
Oversee portfolio outcomes and controls by evaluating investment guidelines, risk exposures, implementation effects, and operational issues; investigate exceptions and strengthen preventative processes.
Develop and interpret investment analytics, including benchmark-relative performance, attribution, factor risk, portfolio exposures, and implementation analysis, to support investment decisions and client reporting.
Build scalable analytical tools, reporting solutions, visualizations, and monitoring capabilities that improve transparency into portfolio performance, holdings, exposures, and operational status.
Design, implement, and enhance Python-based software, data workflows, and automation supporting customization, portfolio management, rebalance execution, and integration with investment platforms and data sources.
Apply quantitative methods, AI, and large language models (LLMs), where appropriate, to support research, decision-making, and workflow efficiency while maintaining appropriate validation and controls.
Partner with portfolio managers, investment strategists, engineers, risk managers, analytics teams, data professionals, and operations stakeholders to deliver practical solutions from concept through implementation and adoption.
Apply sound judgment and critical thinking to solve complex problems, adapt as the business evolves, and rigorously evaluate new approaches and technologies.