Quantitative Risk Analyst

In this role you will design and implement advanced risk models to strengthen the company’s financial resilience. You will work with a dynamic, cross-functional team to develop and optimize analytical methods that support decision-making. You will analyze large datasets and apply statistical techniques to identify trends and risk drivers, while collaborating with stakeholders including the trading desk. You will contribute to scalable solutions using modern technology and stress-testing to inform risk mitigation. This is a hands-on opportunity to shape risk management with cutting-edge tools and real impact.

• Design and implement advanced Python risk models
• Optimize algorithms and statistical models for risk prediction
• Maintain and update codebases for performance and reliability
• Process and analyze large datasets using SQL
• Apply statistical techniques to interpret data and identify trends
• Perform stress testing and develop risk mitigation strategies
• Collaborate with cross-functional teams and the trading desk to gather data and understand strategies

• 3 - 5 years of relevant working experience with strong knowledge of Python and object-oriented programming
• Bachelor’s or Master’s degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or a related field
• Experience in trading houses is a plus
• Strong analytical, quantitative, and problem-solving skills
• Excellent communication and teamwork abilities with excellent proficiency in English
• Proactive and adaptable to shifting priorities

• strong communication
• teamwork
• analytical mindset
• Python
• object-oriented programming
• SQL