John Hancock Life Insurance Company (U.S.A.) is seeking an Asset Management AI Research Analyst to develop AI / ML tools to support their fundamental investment research process, aiming to enhance investment strategies through advanced quantitative expertise and modern AI/ML techniques.
Requirements
- 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)
- 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).
- Expert proficiency in SQL, Databricks, Snowflake
- Proficient user of financial APIs (Bloomberg, Refinitiv, FactSet) and financial databases in real investment contexts
Responsibilities
- 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
Other
- MS/PhD in Financial Engineering, Computer Science, Machine Learning, Physics Mathematics, or related technical field
- Knowledge of buy-side workflows from idea generation through trade execution and performance monitoring
- Working knowledge of regulatory requirements and compliance considerations in asset management (SEC, CFTC, FINRA)
- Excellent analytical and problem-solving skills, with experience in statistical modeling, regression, and predictive modeling.
- Strong communication and collaboration skills, with the ability to present sophisticated technical ideas to collaborators and team members.
