Senior Quant Treasury & ALM Risk Analytics

Ebury Group; León; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Annual discretionary bonus

Mentorship

Career progression

Hybrid work in León

Job summary

Ebury Group in León, Spain, invites a talented Quantitative Treasury/ALM Analyst to join our Treasury team. You will develop and implement advanced risk models, support multi-currency hedging, and help IFRS valuation and delta attribution efforts.

We value Python and SQL expertise, 5+ years in quantitative analysis, and a collaborative mindset. The role offers hybrid work (4 days in León, 1 day remote), mentorship, competitive pay and broad opportunities to shape innovative finance solutions.

Qualifications

• +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.

Responsibilities

• 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.

Skills

Quantitative analysis

Tools

Python

SQL

Job description

Ebury Group in León, Spain, invites a talented Quantitative Treasury/ALM Analyst to join our Treasury team. You will develop and implement advanced risk models, support multi-currency hedging, and help IFRS valuation and delta attribution efforts.

We value Python and SQL expertise, 5+ years in quantitative analysis, and a collaborative mindset. The role offers hybrid work (4 days in León, 1 day remote), mentorship, competitive pay and broad opportunities to shape innovative finance solutions.