Machine Learning Researcher

MSCI

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$144,000–$187,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $166k
$128k most similar roles pay here $294k

This role pays less than 87% of similar roles. Most pay $197,981–$254,750 — the shaded band above. At the midpoint, this role pays about $166k versus about $226k 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 14 open roles on FindRole.

Listed pay typically runs $195,000–$250,000 across 14 roles with salary data.

Most-posted roles

View all roles at MSCI

At a glance

TL;DR · Machine Learning Researcher

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As a Machine Learning Researcher within the Research & Development team, you will join a newly established Machine Learning Center of Excellence to develop models powering investment tools for institutional clients. You will conduct research integrating financial theory with deep learning and reinforcement learning to enhance systematic strategies, portfolio construction, and valuation models. Your daily work involves designing and developing models that convert AI-extracted signals from text, documents, and client telemetry into actionable investment insights while contributing to thought leadership through innovation and publishing. The role requires a PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Operations Research. You must possess expert programming skills and the ability to communicate complex ideas to technical and business stakeholders. This position focuses on solving problems within the domain of quantitative finance and investment product development.

Skills

Machine Learning Deep Learning Reinforcement Learning Quantitative Finance Portfolio Construction Statistics Mathematics Operations Research

What you'll do

  • Conduct research integrating financial theory with deep learning and reinforcement learning.
  • Develop machine learning models for systematic strategies, portfolio construction, and valuation.
  • Design models to convert AI-extracted signals from text and documents into investment insights.
  • Deliver research that powers new products across various MSCI product lines.
  • Contribute to thought leadership through research innovation and publishing.
  • Communicate complex technical ideas clearly to both technical and business stakeholders.

What we're looking for

  • PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related quantitative field.
  • Experience as an early-career researcher with a recent PhD.
  • Expert programming skills.
  • Strong interest in quantitative finance.
  • Ability to communicate complex ideas clearly to technical and business stakeholders.
  • A publication record in machine learning or quantitative finance is preferred.

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