Vice President, Model Portfolio Manager, Multi-Asset Strategies & Solutions

Blackrock

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYSan Francisco, CA
Salary
$155,000–$210,000 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $182k
$132k most similar roles pay here $235k

This role pays more than 52% of similar roles. Most pay $161,250–$225,000 — the shaded band above. At the midpoint, this role pays about $182k versus about $193k for comparable roles.

Based on 239 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 81 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 77 roles with salary data.

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At a glance

TL;DR · Vice President, Model Portfolio Manager, Multi-Asset Strategies & Solutions

Vice President, Model Portfolio Manager, Multi-Asset Strategies & Solutions (MASS) serves as an Associate within the Model Portfolio team to manage and evolve the model portfolio platform. This hybrid role combines portfolio management, investment analytics, and technology enablement to improve construction, implementation, and oversight across diverse client portfolios. The individual will perform daily operations such as monitoring positioning, facilitating rebalances, and conducting performance analysis while developing Python-based tools and automated workflows. Key responsibilities include designing multi-asset attribution and risk analytics and implementing AI/LLM technologies, prompt engineering, and automation to streamline research and reporting. Required skills include proficiency in Python, SQL, and Power BI, alongside a strong understanding of asset allocation and risk models. The role addresses the challenge of creating scalable investment solutions by integrating advanced data science with traditional multi-asset investment strategies.

What you'll do

  • Monitor portfolio positioning and facilitate rebalances to ensure alignment with investment objectives.
  • Perform performance analysis focusing on benchmark-relative returns and implementation effects.
  • Design and maintain multi-asset attribution and risk analytics for robust portfolio evaluation.
  • Develop Python-based tools and automated workflows to scale portfolio analytics and reporting.
  • Utilize SQL and internal data platforms like Aladdin to improve the quality of analytical processes.
  • Implement AI and LLM technologies to automate research, reporting, and investment analysis.
  • Translate complex financial data into actionable insights for investment decision-making.

What we're looking for

  • 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.
  • 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.
  • 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.

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