Senior Python Market Risk Quant Engineer - Senior Vice President

Lead the establishment and implementation of new or revised application systems focusing on advanced programming and large-scale integration.

Analyze complex business and system processes to develop and deploy solutions aligning with technology goals and risk management.

Oversee and mentor development teams, manage cross-functional projects with large budgets, and liaise with senior leadership and external partners.

12+ years of professional experience, including designing and running applications on massive-scale compute grids.

Expert-level hands-on experience with at least one major public cloud provider (AWS or GCP) and containerization/orchestration tools (Docker, Kubernetes).

Strong programming skills in Python, with extensive experience in high-performance computing and infrastructure-as-code principles.

Degree in Computer Science, Engineering, or a related technical field.

Demonstrated expertise in architecting and building horizontally scalable, highly available, resilient, and performant large-scale compute applications.

Experience in financial industry quantitative or risk-related computations such as Monte Carlo simulations, VaR calculations, or XVA pricing is highly desirable.

Proven ability to operate in high-pressure, complex environments collaborating effectively with quantitative research, trading, and risk management teams.