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Acquire Me · Chicago
I've partnered with a leading quantitative trading firm to scale their research platform team that powers large-scale simulations, model training, and data-driven decision-making across the business.
This team sits at the intersection of distributed systems, high-performance computing, and quantitative research, owning the infrastructure and software that enables researchers and traders to rapidly test ideas and generate insights from massive datasets.
Building and scaling distributed systems that support large-scale computational workloads
Developing platform services across job scheduling, workflow orchestration, cluster management, and data processing
Designing and improving compute and data platforms used by researchers globally
Building reliable, high-performance systems in Python and Rust
Working on infrastructure that accelerates simulation, experimentation, and model development
Partnering directly with researchers, traders, and engineers to solve complex technical challenges
Ability to lead projects and take ownership from architecture through deployment
Interest in solving complex problems at the intersection of infrastructure and research enablement
Direct impact on the tools and platforms used to drive quantitative research and trading decisions
Ownership of critical infrastructure supporting large-scale simulations and model development
Collaborative environment working alongside world-class researchers, traders, and engineers
Opportunity to influence technical direction and platform architecture
Details
| Company | Acquire Me |
| Location | Chicago |
| Type | FULL TIME |
| Niche | Computer and Mathematical Occupations |