Director of COE for Machine Learning Research

MSCI

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Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$195,000–$254,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $233k
This role $224k
$174k most similar roles pay here $289k

This role pays less than 56% of similar roles. Most pay $201,850–$264,250 — the shaded band above. At the midpoint, this role pays about $224k versus about $233k 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.

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At a glance

TL;DR · Director of COE for Machine Learning Research

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As the Director of COE for Machine Learning Research, you will join the Research & Development team to lead a newly established Machine Learning Center of Excellence. You will manage and mentor a team of PhD-level researchers while leading research that integrates financial theory with advanced machine learning techniques, specifically deep learning and reinforcement learning. Your daily work involves developing models to convert AI-extracted signals from text, documents, and client telemetry into investment insights for portfolio construction, valuation models, and systematic strategies. You will collaborate with product, technology, and sales teams while engaging directly with clients to address systematic investment challenges. The role requires expert programming skills, a strong foundation in quantitative finance, and a PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Operations Research.

Skills

Machine Learning Deep Learning Reinforcement Learning Quantitative Finance Statistics Mathematics Operations Research Portfolio Construction Valuation Models Research & Development

What you'll do

  • Lead a team conducting research that integrates financial theory with deep learning and reinforcement learning.
  • Develop machine learning models for systematic strategies, portfolio construction, and valuation models.
  • Design models to convert AI-extracted signals from text and documents into investment insights.
  • Deliver research to power new products across various MSCI product lines.
  • Build and mentor a team of PhD-level machine learning researchers.
  • Engage directly with clients to identify and solve systematic investment challenges.
  • Contribute to thought leadership through research innovation and publishing.

What we're looking for

  • PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related quantitative field.
  • Strong foundation in quantitative finance.
  • Expert programming skills.
  • Experience building and mentoring technical teams.
  • Ability to communicate complex ideas clearly to both technical and business stakeholders.
  • A publication record in machine learning or quantitative finance is preferred.

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