Why This Role Stands Out
Shape the future of financial modeling by architecting and managing a cutting-edge, massive-scale distributed compute grid on AWS and GCP, offering hybrid flexibility and significant growth opportunities. If you excel at optimizing complex cloud infrastructure and thrive in a collaborative, innovative environment, this role is an exceptional chance to make a substantial impact. Apply today to join a leading firm and advance your career in cloud HPC engineering.
Quick Overview
Job Description
Key Responsibilities:
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Architect build and manage a massive scale distributed compute grid on public cloud platforms AWS Google Cloud Platform for running financial pricing models
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Design and implement the orchestration layer responsible for distributing millions of pricing tasks efficiently across hundreds of thousands of CPUGPU cores
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Deploy manage and version control a diverse library of quantitative pricing models ensuring they run optimally in a distributed environment
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Obsessively monitor and optimize the performance cost and resource utilization of the cloud grid driving continuous efficiency improvements
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Collaborate with quantitative development teams to seamlessly integrate new and updated pricing models into the production grid
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Engineer the data logistics to ensure that the correct market data trade data and model configurations are available for every calculation at runtime
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Ensure the pricing engine is highly available resilient and capable of meeting stringent recovery time objectives
What We are Looking For:
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Experience with a proven track record of designing building and running applications on massive scale compute grids
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Expertlevel Handson experience with at least one major public cloud provider AWS or Google Cloud Platform including their batch processing container and serverless offerings
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Deep expertise in containerization and orchestration technologies Docker Kubernetes
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Strong programming skills in languages common to high performance computing such as C and Python
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Prior experience in a similar role within the financial industry eg running largescale Monte Carlo simulations VaR calculations or XVA pricing grids is highly desirable
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A degree in Computer Science Engineering or a related technical field
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A strong background in distributed systems performance tuning and infrastructureascode principles
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Exceptional problem-solving skills with an ability to diagnose and resolve complex issues in a high pressure largescale environment
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Excellent communication skills and the ability to work effectively with quantitative research trading and risk management teams".
Cloud HPC Engineer1Google Cloud Platform,Python,AWS,docker,C/C++,HPCN/AFull TimeUnited States
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