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
14 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $239k
This role $224k
$173k $298k
below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $207,225–$270,618 — the blue band above. At the midpoint, this role pays about $224k versus about $239k 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.

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At a glance

TL;DR · Director of COE for Machine Learning Research

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The Director of COE for Machine Learning Research will lead a team within the Research & Development department to develop machine learning models for institutional investment tools. This Executive Director will manage a team of PhD-level researchers to apply advanced techniques, specifically deep learning and reinforcement learning, to systematic strategies, portfolio construction, and valuation models. Daily responsibilities include designing models that convert AI-extracted signals from text, documents, and client telemetry into investment insights while collaborating with product, technology, and sales teams. The role requires expert programming skills, a PhD in a quantitative field, and a strong foundation in quantitative finance. The work involves integrating financial theory with machine learning to solve systematic investment challenges and power new products across various product lines.

Skills

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

What you'll do

  • Lead a research team applying deep learning and reinforcement learning to systematic investment strategies.
  • Design models to convert AI-extracted signals from text and telemetry into investment insights.
  • Develop research that powers 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 industry 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 from a top institution.
  • Strong foundation in quantitative finance.
  • Expert programming skills.
  • Experience building and mentoring technical teams.
  • Ability to communicate complex ideas clearly to technical and business stakeholders.
  • Publication record in machine learning or quantitative finance (preferred).

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