Experteer Overview
In this role you will develop and implement advanced quantitative risk models to support liquidity risk, hedging, and balance sheet evolution. You will work within the Quantitative Treasury/ALM team to innovate and optimize risk analytics that drive revenue and financial stability. You will translate complex models into actionable insights for cross-functional stakeholders and contribute to IFRS valuation efforts. This position offers a blend of hands-on coding, mathematical analysis, and collaboration in a fast-growing fintech environment.
Compensaciones / Incentivos
• Develop and implement quantitative risk models (liquidity risk simulations, VaR99, portfolio correlation)
• Simulate balance sheet evolution and multi-entity, multi-currency hedging strategies
• Map interest rate risk via DV01 analysis and automate hedging processes
• Contribute to IFRS valuation and delta attribution projects linking market impacts to revenue drivers
• Refactor and optimize code using Python and SQL
• Analyze pricing and revenue optimization strategies
• Document and present quantitative findings to the team
• Brainstorm and contribute ideas to improve current processes
Responsabilidades
• +5 years of experience in quantitative analysis or programming
• Proficiency in Python (NumPy, Pandas) and SQL
• Experience in quantitative finance or data analysis is a plus
• Strong passion for quantitative financial mathematics and analysis
• Creative and innovative thinking to challenge methodologies
• Analytical and problem-solving skills
• Good communication, documentation, and presentation skills
• Curiosity and willingness to learn complex financial concepts
• Ability to work effectively in a collaborative team
• Fluent English communication (written and spoken)
• Open to diverse academic backgrounds with aptitude for quantitative finance and risk modeling