PC
Python Developer
Pyramid Consulting, Inc
- 🇺🇸 United States
- On-site
- Manager or above
- 8 hours ago
- Python
- AWS
- GCP
- Docker
- Kubernetes
- Health insurance
- Pension
8 hours ago
Job ID:26-33454
Pay Range: $90 - $95/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
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.
- 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.
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Python Developer · Pyramid Consulting, Inc