Quantitative Researcher, Global Allocation - Vice President

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$162,000–$215,000 / yr
Posted
50 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $188k
$108k most similar roles pay here $232k

This role pays more than 69% of similar roles. Most pay $145,200–$198,000 — the shaded band above. At the midpoint, this role pays about $188k versus about $172k 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 93 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 93 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Quantitative Researcher, Global Allocation - Vice President

Join the Global Allocation team at BlackRock as an AI Engineer, where you will drive financial technology innovation by developing cutting-edge AI and ML solutions. Your daily tasks include collaborating with portfolio managers and analysts to implement comprehensive AI/ML-based strategies, designing systems for data analysis, and creating systematic alpha strategies across various asset classes. You will work with large datasets, integrate new AI services, and stay current with the latest technologies. Ideal candidates have a strong background in Computer Science or related fields, 4+ years of experience, and expertise in Python, Java, or C/C++. Experience with LLM frameworks, ML model training, distributed computing, and GPUs is essential. This role requires excellent teamwork skills and a passion for algorithmic development within the dynamic environment of global fixed income investing.

What you'll do

  • Develop and implement comprehensive AI/ML solutions for investment strategies.
  • Design systems to analyze unstructured data sources for actionable insights.
  • Create systematic alpha strategies across various asset classes including cryptocurrencies.
  • Integrate new AI services into the existing platform efficiently.
  • Utilize distributed computing and GPUs for large-scale data processing.
  • Stay updated with cutting-edge technologies in AI and machine learning.

What we're looking for

  • 4+ years of experience in computer science or related field with a B.S., M.S., or PhD.
  • Strong proficiency in Python, Java, and C/C++ for algorithm development.
  • Experience building applications using large language model (LLM) frameworks.
  • Expertise in machine learning model training and fine-tuning processes.
  • Knowledge of distributed computing and GPU usage for efficient data processing.
  • Ability to collaborate effectively within Agile development teams.
  • Passion for research and innovation in AI/ML-based financial solutions.

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