Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you're a collaborator who wants to help transform how businesses operate globally, get in touch - we'd love to discuss how Ebury can accelerate your career so you can shape the future.
Quantitative Treasury & ALM Risk Intern
Treasury
Ebury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week
Ebury is a dynamic fintech company at the forefront of financial innovation. As a leader in forex derivatives for hedging, we provide sophisticated solutions to our clients, ensuring financial stability and driving industry standards. With a global presence, we offer a unique blend of startup agility and established company resources. Our Quantitative Treasury/ALM team is a hub of innovation, where we don't just follow industry norms; we redefine them.
What you'll do
Take ownership of crucial Business As Usual (BAU) operations, gaining a frontline understanding of integral treasury management and real-world financial markets.
Prepare, analyze, and optimize the daily liquidity report, acting as a key player in monitoring the company's financial health and liquidity risk.
Assist in the execution and monitoring of interest rate hedges, gaining hands-on exposure to practical risk mitigation strategies.
Support the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies.
Contribute to the refactoring and optimization of our daily operational code and reports using Python and SQL.
Learn to document and present quantitative findings and daily key metrics to the team.
Brainstorm and contribute ideas to innovate and streamline current daily processes.
What you'll need
Final year student or recent graduate in a quantitative discipline (Mathemati
📌 Quantitative Treasury (Madrid)
🏢 Ebury
📍 Madrid