Python Developer

Python Developer Opportunity

Immediate need for a talented Python Developer. This is a 06+months contract opportunity with long-term potential and is located in Rutherford, NJ (Onsite).

Key Responsibilities:

• Architect and build a next-generation, hybrid-cloud platform for running quantitative pricing calculations at massive scale.
• Design a sophisticated job orchestration and scheduling system for dynamic prioritization and resource optimization across the grid.
• Engineer a robust, event-driven framework for managing the entire job lifecycle, including notifications for job completion.
• Develop a comprehensive error-handling and resiliency strategy for large-scale distributed environments.
• Pioneer the development of an intelligent monitoring platform using ML for anomaly detection and performance optimization.
• Engineer secure and efficient data logistics for moving terabytes of market and trade data between on-premise systems and public cloud environments.
• Collaborate closely with front-office quants to onboard and optimize their C and Python pricing models for distributed computation.

Key Requirements and Technology Experience:

• 10+ years of professional experience with a proven track record of designing and building applications for massive-scale, high-performance compute (HPC) grids.
• A degree in a highly technical field such as Computer Science or Quantitative Finance.
• Deep domain knowledge in financial derivatives and a strong understanding of financial regulations like FRTB.
• Expert-level experience with job scheduling, resource management, and workload optimization techniques on large-scale grids.
• Deep expertise in building event-driven architectures and managing asynchronous notifications from distributed systems.
• Proven experience designing and building intelligent monitoring tools, ideally leveraging ML for anomaly detection.
• Expert-level experience managing workloads in a hybrid cloud environment, with knowledge of at least one major public cloud (AWS, GCP).
• Deep expertise in containerization, orchestration, and scheduling technologies (Docker, Kubernetes).
• Strong programming skills in languages common to high-performance and quantitative computing, such as C and Python.
• Proven ability to debug complex pricing and model-related issues by partnering directly with quantitative analysts.
• Prior experience in a similar role within the financial industry, specifically working on quantitative pricing platforms or large-scale risk calculations.