Associate, Modelling Data Scientist

Blackrock

Hybrid

Quick summary

Work type: Hybrid
Location: Palo Alto, CA
Salary: $137,500–$167,500 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k

This role $152k

$93k most similar roles pay here $214k

This role pays less than 56% of similar roles. Most pay $126,800–$195,983 — the shaded band above. At the midpoint, this role pays about $152k versus about $161k 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 101 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 101 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Associate, Modelling Data Scientist

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Join BlackRock's AI Labs as a senior researcher to collaborate with world-class academics, engineers, and investment professionals on developing innovative methodologies for solving complex business challenges across the firm. You will work through the entire research lifecycle, from initial prototyping to final productization, focusing on optimization, machine learning, and statistical techniques. Key responsibilities include translating business needs into technical projects, evaluating large datasets, rapidly prototyping solutions, authoring whitepapers, and presenting findings to senior management. Ideal candidates have a PhD or MS in a quantitative field plus relevant industry experience, with expertise in Python, Julia, or R, and a background in finance, economics, or related fields. This role leverages cutting-edge AI technologies to drive commercial impact through alpha generation, operational efficiencies, and cost reduction at one of the world’s largest asset managers.

Skills

Python Julia R MachineLearning Optimization StatisticalTechniques DataScience CloudServices CI/CD Git JupyterNotebooks SQL NoSQL PostgreSQL MongoDB AWS Azure GoogleCloudPlatform Kubernetes Docker Terraform

What you'll do

Translate business needs into well-scoped technical projects.
Evaluate methodologies using large, complex datasets efficiently.
Prototype solutions using optimization and machine learning tools.
Author technical whitepapers and present to senior management.
Build reliable, scalable productized solutions in compliance with firm processes.

What we're looking for

PhD in quantitative subject area or MS degree plus 3+ years of relevant experience.
Strong background in optimization, statistical techniques, and machine learning.
Practical experience with programming languages like Python, Julia, or R.
Experience analyzing data in finance, economics, sociology, or related fields.
Ability to translate business needs into technical projects efficiently.
Produce clear technical presentations and whitepapers for senior management.

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