Senior Python Quant Engineer - Distributed Cloud Pricing

Rose International

Jersey City (NJ)

On-site

USD 180,000 - 260,000

Full time

2 days ago

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Job summary

Rose in Jersey City is seeking a Quant Engineer to lead development, deployment, and scaling of a massive distributed pricing engine on AWS or GCP. You will operationalize advanced pricing models, enabling millions of trades to be valued across thousands of market scenarios with speed and reliability.

The role requires expertise in cloud computing, distributed systems, Kubernetes, Docker, C++, Python, and large-scale infrastructure.

Qualifications

8+ years of overall professional experience in Quant/Quantitative Development, Quantitative Research, or related field.
Client needs candidates with more spark and distributed programming hands on experience.
Hands-on experience with at least one major public cloud provider (AWS or GCP), including batch processing, container, and serverless services.
Experience in containerization and orchestration technologies, including Docker and Kubernetes.
Strong programming skills in Python.
Strong background in distributed systems, performance tuning, and Infrastructure-as-Code (IaC) principles.
Exceptional problem-solving skills with the ability to diagnose and resolve complex issues in high-pressure, large-scale environments.
Excellent communication skills with the ability to collaborate effectively with quantitative research, trading, and risk management teams.

Responsibilities

Architect, build, and manage a massive-scale distributed compute grid on AWS or GCP for running financial pricing models.
Design and implement the orchestration layer to efficiently distribute millions of pricing tasks across hundreds of thousands of CPU/GPU cores.
Deploy, manage, and version control quantitative pricing models in a distributed environment.
Monitor and optimize cloud grid performance, cost, and resource utilization to drive continuous efficiency improvements.
Collaborate with quantitative development teams to integrate new and updated pricing models into the production environment.
Engineer data logistics to ensure market data, trade data, and model configurations are available for runtime calculations.
Ensure the pricing engine remains highly available, resilient, and capable of meeting stringent recovery time objectives.
Only those lawfully authorized to work in the designated country associated with the position will be considered.
Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.