Quantitative Model Developer, Specialist

Qualifications

• Required Skills & Experience:
• 2+ years of experience in quantitative software development, financial engineering, machine learning/AI engineering, quantitative research technology, or a related quantitative technology field.
• Python: Demonstrated experience developing production-quality software using Python and modern software engineering practices.
• Machine Learning / Statistical Modeling: Experience developing, testing, and deploying machine learning, statistical learning, or optimization models.
• Production Model Deployment: Experience translating quantitative models, research, or analytical solutions into production environments.
• Cloud Technologies: Experience developing or deploying applications in cloud-based environments.
• Software Engineering: Working knowledge of system design, automated testing, version control, CI/CD, monitoring/observability, and production support.
• Quantitative Analysis: Strong quantitative, statistical, analytical, and problem-solving skills.
• Education: Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, Quantitative Finance, Economics, or a related quantitative discipline.
• Preferred Skills & Experience
• Investment Management / Financial Markets: Experience working in asset management, quantitative investing, systematic investing, factor investing, portfolio construction, trading systems, or financial markets.
• Quantitative Investment Research: Experience translating quantitative investment research into production systematic investment capabilities.
• MLOps: Experience with machine learning operations, including model deployment, monitoring, validation, and governance.
• Generative AI: Experience designing or building applications using generative AI or large language models (LLMs).
• Retrieval-Augmented Generation (RAG): Experience developing RAG architectures, semantic search, knowledge retrieval, or related retrieval systems.
• LLM Technologies: Experience with vector databases, embeddings, context engineering, prompt engineering, LLM orchestration, agentic AI frameworks, or LLM evaluation.
• Advanced AI/ML: Experience with deep learning, knowledge graphs, agentic AI systems, or other emerging AI technologies.
• Cloud / Distributed Systems: Experience with cloud-native architectures or distributed computing.
• Advanced Degree: Master's degree or PhD in a quantitative or technical discipline preferred.
• Special Factors
• Sponsorship
• Vanguard is not offering visa sponsorship for this position.

About Vanguard

Preferred Qualifications

• Preferred Skills & Experience
• Advanced Degree: Master's degree or PhD in a quantitative or technical discipline preferred.