AI Engineer - Private Assets

Your Team Responsibilities

Design and implement enterprise-scale AI architectures for processing and analyzing complex, multi-dimensional financial and alternative data.

Architect end-to-end ML pipelines that handle multi-modal data sources including structured market data, unstructured documents, and real-time feeds.

Develop advanced NLP systems for extracting and validating critical metrics from millions of documents, reports, and regulatory filings.

Apply cutting-edge AI techniques (including LLMs, computer vision, and deep learning) to solve MSCI's diverse AI use cases.

Implement MLOps best practices and automated systems for model deployment, monitoring, and continuous improvement across multiple product lines.

Collaborate with product teams and domain experts to translate complex requirements into scalable technical solutions.

Provide technical guidance and mentorship to other engineers on AI/ML best practices and architectural decisions.

Partner with MSCI Research teams to advance the state of AI applications in financial analytics.

Your Skills and Experience That Will Help You Excel

• 3+ years of experience building and deploying AI/ML systems at scale, with deep hands-on technical expertise.
• Expert-level proficiency in modern AI/ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Flink, Beam, Spark, Ray).
• Proven track record of architecting and delivering enterprise AI platforms handling large scale data.
• Advanced knowledge of NLP, computer vision, and time-series analysis techniques with practical application experience.
• Experience with financial data, risk modelling, or quantitative analytics is highly desirable.
• Expertise in building real-time streaming architectures using technologies like Kafka, Flink, or Beam.
• Strong foundation in MLOps practices including model versioning, A/B testing, and automated retraining pipelines.
• Excellent technical communication skills with ability to present complex AI concepts to diverse stakeholders.
• Track record of publishing research or speaking at conferences on AI/ML topics.
• Passion for solving complex analytical challenges and using technology to drive innovation in financial markets.

About MSCI

We're seeking an exceptional Principal AI Engineer to join our AI team and shape the development of cutting-edge solutions that address MSCI's most complex analytical challenges. In this role, you'll architect and implement advanced AI systems that transform how global investors make critical decisions by providing sophisticated insights across financial markets, risk assessment, and portfolio analytics.