Portfolio Risk Quantitative Modeler, Associate - Aladdin Financial Engineering

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$137,500–$170,000 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $154k
$123k most similar roles pay here $228k

This role pays less than 58% of similar roles. Most pay $132,700–$217,450 — the shaded band above. At the midpoint, this role pays about $154k versus about $175k for comparable roles.

Based on 240 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 87 open roles on FindRole.

Listed pay typically runs $137,500–$180,000 across 87 roles with salary data.

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At a glance

TL;DR · Portfolio Risk Quantitative Modeler, Associate - Aladdin Financial Engineering

BlackRock's Aladdin Financial Engineering team is hiring a hands-on Quantitative Associate to join the Portfolio Risk division, focusing on developing and maintaining advanced risk models used across various asset classes. This individual contributor role involves researching, designing, and back-testing portfolio risk models using Python, collaborating with engineers to ensure robustness in production environments, and contributing to AI-driven model governance processes. The ideal candidate will have a Master’s or PhD in a quantitative field, strong programming skills in Python (R preferred), experience with large datasets, and a solid understanding of financial markets. They should also possess critical thinking abilities, excellent communication skills, and the capacity to work collaboratively across disciplines while emphasizing rigor, scalability, and transparency in model development.

What you'll do

  • Research, design, and back-test portfolio risk models using Python-based infrastructure.
  • Work hands-on with large financial datasets to ensure data quality and robust model results.
  • Collaborate with software engineers to test, productionize, and maintain risk models.
  • Support existing models in production by resolving stakeholder questions and issues.
  • Develop testing, validation, back-testing, and quality-control frameworks for models.

What we're looking for

  • Master’s degree or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering.
  • Strong hands-on programming experience primarily in Python with knowledge of R.
  • Experience working with large datasets and applying statistical techniques.
  • Solid understanding of financial markets, products, and basic economics.
  • Ability to work effectively in a collaborative team environment.
  • Clear written and verbal communication skills for both technical and non-technical audiences.
  • Interest in building robust, scalable, and well-governed analytical systems.

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