Full-time
Vice President, Model Portfolio Manager, Multi-Asset Strategies & Solutions (MASS)
$155K/yr – $210K/yr
New York, NYFinance & BankingPosted 19d ago
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Role overview
Job type
Salary
$155K/yr – $210K/yr
Location
Sector
Posted
19 days ago
Job description
Vice President, Model Portfolio Manager, Multi-Asset Strategies & Solutions (MASS)
Tags
+1 more
Senior Level
$155K/yr - $210K/yr
43
FAIR MATCH
Experience Level
64
Skill
37
Industry Exp.
59
Finance
Responsibilities
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
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
Benefits
Annual discretionary bonus
Healthcare benefits
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)
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.
Glassdoor
3.8
Global asset manager and investment technology provider.
New York, New York, USA
http://www.blackrock.com
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Accounting and Finance
Customer Service and Support
Engineering and Development
Management and Executive
Trends of Total Sponsorships
*2026
(19)
2025
(18)
2024
(34)
2023
(7)
Qualifications
* 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
Required skills
Portfolio Management, Performance Evaluation, Portfolio Attribution, Risk Analytics, Python, SQL, Artificial Intelligence (AI) and Large Language Models (LLMs), Workflow Automation, Model Portfolios and Asset Allocation, Power BI
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