Description
Meritis is hiring a Quantitative Research & Engineering Intern to join its Quantitative Research & Engineering team and contribute to quantitative solutions for financing and liquidity optimization. The role involves designing and implementing solutions for securities collateral, lending and borrowing, and Prime Brokerage refinancing; developing analytics tools for liquidity indicators such as LCR; contributing to a financing resource management platform; and supporting the performance, stability, and industrial quality of applications. Candidates should be final-year engineering or university master’s students specializing in computer science, applied mathematics, quantitative finance, or financial engineering, with strong object-oriented programming, numerical optimization, algorithmics, and market-finance knowledge, plus English B2/C1.
