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# Quantitative Engineer

- **Company:** TSR, Inc
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Amazon Web Services, Batch Processing, C++ (Programming Language), Cloud Computing, Computer Programming, Distributed Systems, Python (Programming Language), Monte Carlo Methods, Performance Tuning, High Performance Computing, System Availability, Infrastructure Automation Frameworks, Grid Computing, Serverless Computing, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.thejobnetwork.com/job/1c3faf96-026e-4627-a70e-495589dba5d0/quantitative-engineer

## About the Role

We are seeking a Qualitative Engineer, Massive-Scale Pricing Engine to join our dynamic team. The ideal candidate will have strong experience in Python, distributed systems, cloud/grid computing, and market risk pricing platforms and a proven ability to design, scale, and operate high-performance pricing grids that deliver fast and reliable valuation at enterprise scale., * 10+ years designing, building, and operating applications on large-scale compute grids.
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 * Expert hands-on experience with AWS or GCP, including batch processing, containers, and serverless services.
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 * Deep expertise with Docker and Kubernetes.
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 * Strong programming skills in Python and C++ for high-performance computing.
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 * Background in distributed systems, performance tuning, and infrastructure as code.
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 * Experience with large-scale Monte Carlo simulations, VaR, or XVA pricing grids in financial services is desirable.
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 * Excellent problem-solving skills and the ability to operate in high-pressure environments.
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 * Clear communication skills with stakeholders in quantitative research, trading, and risk.
\n, * Experience with market risk platforms, grid schedulers, and pricing engines.
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 * Familiarity with cost optimization and observability in large cloud estates.
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## Description

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 * Architect, build, and manage a large-scale distributed compute grid on AWS or GCP for financial pricing models.
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 * Design and implement orchestration for distributing millions of pricing tasks across extensive CPU and GPU fleets.
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 * Deploy, manage, and version a library of quantitative pricing models for optimal performance in distributed environments.
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 * Monitor and optimize performance, cost, and resource utilization to drive continuous efficiency gains.
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 * Collaborate with quantitative development teams to integrate new and updated models into production workflows.
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 * Engineer robust data logistics to deliver market data, trade data, and configurations at runtime.
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 * Ensure high availability, resiliency, and adherence to recovery time objectives for the pricing engine.
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