Senior Python Market Risk Quant Engineer - Senior Vice President

Overview

Lead the design, development, deployment, and enhancement of Python applications for market risk and quantitative computation. The role involves large-scale compute grids, distributed systems, cloud platforms, and collaboration with quantitative research, trading, and risk management teams.

What you'll do

• Lead application systems analysis and programming activities.
• Design and develop solutions for complex business and system processes.
• Deploy products and improve application processes.
• Define standards for program analysis, design, coding, testing, debugging, and implementation.
• Consult with users to define system specifications and incorporate them into designs.
• Allocate work and coach developers, analysts, and new team members.
• Assess and escalate technology, compliance, and control risks.

What you'll need

• 12+ years of professional experience designing, building, and running applications on massive-scale compute grids.
• Hands-on expertise with AWS or GCP, including batch processing, container, and serverless offerings.
• Deep experience with Docker and Kubernetes.
• Strong Python programming and advanced computation library skills.
• Experience building efficient platforms for data computation and processing.
• Knowledge of distributed systems, performance tuning, and infrastructure-as-code principles.
• A degree in Computer Science, Engineering, or a related technical field.

Nice to have

• Financial industry experience with Monte Carlo simulations, VaR calculations, or XVA pricing grids.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.