AI-Driven Quant Research Intern for Investments

lombardodier; Genf; On-site; CHF 22,000 - 31,000; Part time

Job summary

Lombard Odier is seeking a Quantitative Research Intern to develop AI-driven research tools for equity and fixed income strategies. You will work with researchers, PMs, and analysts to apply LLMs to investment problems.

The role focuses on building AI-enabled research signals, summarizing unstructured data, and evaluating insights for investment decision-making within a leading wealth and asset manager.

Qualifications

• Knowledge of equity and/or fixed income investing.
• Experience with financial datasets such as fundamentals, transcripts, credit metrics.
• Exposure to ML/NLP, LLM frameworks and AI tooling.
• Experience building RAG systems, AI agents, or evaluation frameworks.
• Familiarity with cloud AI platforms and APIs.
• Prior research in ML, NLP, or applied AI.

Responsibilities

• Develop AI- and LLM-based tools to support investment research.
• Build systems to extract, summarize, and analyse information from filings, transcripts, and data.
• Design and evaluate retrieval-augmented generation workflows for research apps.
• Explore foundation models to improve information discovery and knowledge management.
• Apply ML techniques to structured and unstructured datasets.
• Prototype tools linking internal databases with research repositories.
• Present findings through research reports to investment professionals.

Skills

Equity investing

Fixed income investing

Portfolio construction

Risk management

Quantitative analysis

NLP / ML foundations

Education

Bachelor’s or Master’s in Finance/CS/Data Science

Tools

LangChain

LlamaIndex

LangGraph

Job description

Lombard Odier is seeking a Quantitative Research Intern to develop AI-driven research tools for equity and fixed income strategies. You will work with researchers, PMs, and analysts to apply LLMs to investment problems.

The role focuses on building AI-enabled research signals, summarizing unstructured data, and evaluating insights for investment decision-making within a leading wealth and asset manager.