Deadline:
As soon as possible
Location(s)
France
Paris
Overview
Details
Overview and goals:
We are offering two opportunities for highly motivated interns to delve into the utilization of Large Language Models (LLMs) in both financial analysis and data coding frameworks. This internship combines two key focus areas, encouraging collaboration and cross-disciplinary learning.
In the financial domain, interns will aim to replicate and extend findings from recent academic research by extracting fundamental insights from analyst reports and corporate communications using LLMs. The first task involves assessing LLMs' ability to perform financial statement analysis based on the study "Financial Statement Analysis with Large Language Models," focusing on balance-sheet data and income statements without narrative context. The second financial task includes extracting stock valuation data and parameters, such as discount rates, from analyst reports, informed by the paper "Valuation Fundamentals."
On the code analysis side, interns will investigate the growing literature on LLM applications for coding, particularly in the areas of fine-tuning, prompt engineering, and agentic AI frameworks. Responsibilities include building Retrieval-Augmented Generation (RAG) systems with open-source models to access and cluster research papers, such as those from ArXiv. Additionally, interns will replicate research papers, starting from simpler examples, using agentic AI frameworks with different LLMs fine-tuned for specific tasks.
This comprehensive internship is ideal for candidates with a keen interest in the intersection of financial analysis and advanced data technologies, equipped with strong Python coding skills and a passion for learning how LLMs can transform information extraction and data clustering tasks.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Required Skills and Qualifications:
- Pursuing a degree in Finance, Economics, Data Science, or a related field
- Familiarity with financial analysis and data management tools
- Basic understanding of LLMs and machine learning concepts
- Proficiency in Python or similar programming languages for data analysis
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
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