Manulife

Asset Management AI Research Analyst

Manulife

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Salary

💰 $124,250 - $230,750 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Develop prototype AI solutions in partnership with equity, fixed income, multi-asset, and private markets investment teams.
  • Design and implement large language model (LLM) powered applications for financial document analysis, earnings call transcription processing, and research report generation
  • Build natural language processing pipelines for extracting insights from unstructured financial data (10-Ks, earnings transcripts, news, analyst reports)
  • Develop retrieval-augmented generation (RAG) systems for financial research and knowledge management
  • Create AI-powered research assistants that can synthesize information across multiple data sources and investment frameworks
  • Implement explainable AI frameworks to ensure model transparency and regulatory compliance
  • Develop graph neural networks for analyzing company relationships, supply chains, and market interconnections
  • Build sentiment analysis models specifically tuned for financial communications and market data

Requirements

  • MS/PhD in Financial Engineering, Computer Science, Machine Learning, Physics Mathematics, or related technical field
  • Exposure and interest in emerging frameworks including MCP (Model Context Protocol)
  • Strong programming skills in Python with extensive experience in ML libraries (PyTorch, TensorFlow, scikit-learn, transformers)
  • Proficiency with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks
  • Experience with MLOps tools and practices (MLflow, Kubeflow, Docker, CI/CD for ML)
  • Knowledge of buy-side workflows from idea generation through trade execution and performance monitoring
  • Experience with market and company fundamental data, market microstructure, and alternative data sources
  • Experience with data visualization and reporting tools, such as Tableau, DOMO, or power platform (PowerBI and PowerApps).