Quantitative Developer

Responsibilities

• Build and productionize ML models, feature pipelines, and inference workflows for Quantitative Investment Science applications
• Develop semantic matching, ranking, recommendation, and peer-selection systems for funds, managers, and deals
• Design agentic AI workflows capable of multi-step analysis, tool use, and producing traceable recommendations
• Create robust evaluation frameworks, including task success metrics, regression suites, and monitoring for AI agents
• Integrate embeddings, retrieval-augmented generation (RAG), and model-serving APIs into existing investment tools
• Establish MLOps patterns for experiment tracking, model versioning, deployment, and audit trails
• Partner with data and platform engineers to ensure ML workflows are repeatable, observable, and secure

Requirements

• 5-8 years of software development experience, with significant production experience in ML engineering or data-intensive backend systems
• Strong proficiency in Python and modern software engineering practices
• Experience with applied machine learning, including feature engineering, model training, and monitoring
• Strong SQL skills and experience designing data models for analytical systems
• Practical experience with LLM-enabled workflows, embeddings, or agentic AI systems
• Experience building production services, APIs, or scheduled pipelines
• Familiarity with cloud platforms, containerized development, and CI/CD

Preferred Qualifications

• Experience with financial data, time series data, or private markets workflows
• Knowledge of vector databases, agent frameworks, or feature stores
• Experience with unstructured data processing and model registries
• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field

About the Company

HarbourVest is an independent, global private markets firm with over 43 years of experience and more than $146 billion of assets under management. Our platform provides clients access to global primary funds, secondary transactions, direct co-investments, real assets, and private credit.