Machine Learning Researcher

MSCI

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$144,000–$187,000 / yr
Posted
14 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $229k
This role $166k
$128k $294k
below market most similar roles pay here above market

This role pays less than 92% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $166k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About MSCI

MSCI is a US-based provider of investment decision support tools, including equity indexes, portfolio risk and performance analytics, and ESG research used by institutional investors worldwide.

MSCI currently has 16 open roles on FindRole.

Listed pay typically runs $126,500–$196,000 across 16 roles with salary data.

Most-posted roles

View all roles at MSCI

At a glance

TL;DR · Machine Learning Researcher

The Machine Learning Researcher will join the Research & Development team within the newly established Machine Learning Center of Excellence. This role focuses on developing machine learning models that power investment tools for institutional clients. The researcher will conduct research integrating financial theory with deep learning and reinforcement learning to support systematic strategies, portfolio construction, and valuation models. Key responsibilities include designing models to convert AI-extracted signals from text, documents, and client telemetry into investment insights while contributing to research innovation and publishing. Candidates must possess a PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Operations Research. Required skills include expert programming, a strong interest in quantitative finance, and the ability to communicate complex ideas to technical and business stakeholders.

What you'll do

  • Conduct research integrating financial theory with deep learning and reinforcement learning.
  • Design and develop models to convert AI-extracted signals into investment insights.
  • Deliver research to power new products across various MSCI product lines.
  • Contribute to thought leadership through research innovation and publishing.
  • Apply advanced machine learning techniques to systematic strategies and portfolio construction.
  • Develop valuation models using machine learning methodologies.

What we're looking for

  • PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related quantitative field from a top institution.
  • Expert programming skills.
  • Strong interest in quantitative finance.
  • Ability to communicate complex ideas clearly to technical and business stakeholders.
  • Publication record in machine learning or quantitative finance (preferred).

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