The TP ICAP Group is a world leading provider of market infrastructure.
Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.
Through our people and technology, we connect clients to superior liquidity and data solutions.
The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.
Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.
Louis Capital Markets (LCM) is a global financial broker offering services in Cash Equities, Equity Derivatives, Corporate Finance and Fixed-income for institutional clients.
For each of these asset classes, we offer a host of services including macro research, stock picking strategies, value-added sales & trading, corporate access and electronic broking & liquidity providing.
Customers include hedge funds, asset managers and the largest investment banks for which we are positioned as an execution/liquidity supplier or an investment solution provider.
LCM was established in New York in 1999 and presently has offices in Hong Kong, London, New York and Paris.
Our Equity Research team specializes in the financial analysis of European small and mid-cap companies. We have developed an innovative Big Data product that generates macroeconomic prediction indicators for listed stocks, tailored for our institutional clients. This internship offers a unique opportunity to work at the intersection of finance, data science, and AI, contributing to cutting-edge research and product development.
The preferred profile is a student or recent graduate holding a Master’s degree (Bac+5) in Engineering and/or Finance. Above all, we value curiosity, strong analytical skills, and the ability to generate ideas that contribute to product development. You should be comfortable working independently and taking initiative.
You have solid proficiency in Python and SQL (knowledge of R and VBA is a plus). Ideally, you bring initial experience in data analysis, with exposure to Machine Learning concepts. Previous experience in a financial environment would be an advantage.
