Lead Quant Dev — Cloud-Powered Market Risk & Pricing Grid

Motion Recruitment; Jersey City (NJ); Ibrido; USD 160.000 - 210.000; Tempo pieno

Descrizione del lavoro

Motion Recruitment Partners LLC in Jersey City, NJ, seeks a Quantitative Developer (Market Risk) for a 6-month contract with strong extension potential. Hybrid work is required, with 3 days onsite per week on a global bank project.

You will architect and run a massive distributed compute grid on AWS/GCP, implementing pricing models and ensuring high availability in a high-pressure environment.

Competenze

• A degree in Computer Science, Engineering, or a related technical field.
• 10+ years of professional experience with large-scale compute grids.
• Expert-level experience with AWS or GCP including batch processing, containers, and serverless.
• Docker and Kubernetes expertise.
• Strong programming skills in C++ and Python.
• Experience in finance-related risk pricing (Monte Carlo, VaR, XVA) is valued.
• Background in distributed systems, IaC, and performance tuning.
• Excellent problem solving and cross-team communication.

Mansioni

• Architect and manage a massive distributed compute grid on public clouds for pricing models.
• Design orchestration to distribute millions of pricing tasks across cores.
• Deploy and version control a library of pricing models in a distributed environment.
• Monitor and optimize cloud grid performance, cost, and resources.
• Collaborate with quant dev teams to integrate pricing models into production.
• Engineer data logistics for market data, trade data, and model configurations.
• Ensure pricing engine is highly available and meets recovery objectives.

Conoscenze

C++

Python

Cloud (AWS/GCP)

Docker

Kubernetes

Monte Carlo

VaR Pricing

Distributed systems

Performance tuning

IaC

Formazione

Bachelor's degree in CS/Engineering

Strumenti

AWS

GCP

Descrizione del lavoro

Motion Recruitment Partners LLC in Jersey City, NJ, seeks a Quantitative Developer (Market Risk) for a 6-month contract with strong extension potential. Hybrid work is required, with 3 days onsite per week on a global bank project.

You will architect and run a massive distributed compute grid on AWS/GCP, implementing pricing models and ensuring high availability in a high-pressure environment.