Hybrid Quant Developer with Expertise in Big Data and AI

Elevate your career as a Quant Developer in a hybrid role. Leverage your expertise in Big Data tools and quantitative methodologies to develop risk applications and streamline processes effectively.

This role involves substantial contributions to the design and maintenance of risk applications using state-of-the-art Big Data infrastructure. You will be responsible for developing the overall quant framework, employing AI tools to enhance productivity, and ensuring compliance with operational standards. Collaborating with IT teams, you will contribute to efficient product delivery and ensure that user feedback is integrated into ongoing development.

Key Responsibilities :

• Develop and maintain risk applications for P&L estimation
• Design and implement quant development frameworks
• Utilize AI tools for productivity and code quality
• Ensure effective User Acceptance Testing and validation
• Collaborate with IT on DevOps processes

Requirements :

• 5+ years in capital markets or related fields
• Strong experience with Big Data toolsets like PySpark
• Solid IT knowledge with prioritization skills
• Ability to communicate technical concepts clearly
• Experience with Agile methodologies and project management

Capitalize on your strong quantitative skills to drive impactful solutions in a dynamic hybrid working environment.

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