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Treasury
Ebury Malaga 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 integral presence, we offer a unique blend of start-up 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
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- Assist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis.
- Contribute to the simulation of balance sheet evolution and the development of multi-entity, multi-currency hedging strategies.
- Support the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies.
- Participate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers.
- Contribute to the refactoring and optimization of our code using Python and SQL.
- Assist in the analysis of pricing and revenue optimization strategies.
- Document and present quantitative findings to the team.
- Brainstorm and contribute ideas to innovate current processes.
What you’ll need
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- +5 years of experience in quantitative analysis or programming.
- Proficiency in Python (NumPy, Pandas) and SQL.
- Experience in quantitative finance or data analysis would be a plus.
- A strong passion for quantitative financial mathematics and quantitative analysis.
- Creative and innovative thinking, with a desire to challenge existing methodologies.
- Analytical and problem‑so