Performance Engineer
Confirmed live in the last 24 hours
Akuna Capital

201-500 employees

Automated options market-maker using proprietary technology
Company Overview
Akuna Capital stands out as a leading options market-maker, leveraging its proprietary low-latency technologies, trading strategies, and mathematical models to provide liquidity with competitive quotes. The firm's commitment to continuous growth is evident in its expansion into new markets and products, offering employees the unique opportunity to shape its future. With a strong culture of employee ownership and no external investors, Akuna Capital ensures a collaborative environment where decisions are data-driven and the focus is on sustainable growth.
Quantitative Finance
Data & Analytics
Fintech

Company Stage

N/A

Total Funding

N/A

Founded

2011

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-8%

2 year growth

-8%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Operating Systems
CategoriesNew
Software Engineering
Requirements
  • BS/MS/PhD in technical field - Computer Science, Math, Physics, Engineering
  • Strong C++ or Python programming background with demonstrated experience developing performant, scalable applications
  • Experience analyzing and tuning operating systems, compilers, networking, IO subsystems, or accelerators
  • Exposure to statistical and experimental methods and tools for testing performance
  • Highly collaborative in nature - excellent written and verbal communication skills
  • Ability to work on cross-functional teams including Trading, Development, IT, and Quant
Responsibilities
  • Contribute to the design and implementation of our trading engine by increasing its performance with projects such as benchmarking systems, evaluating new devices, latency, and throughput analysis
  • Develop tools and applications for benchmarking new devices and software
  • Assist with performance troubleshooting and identify key opportunities for improvement
  • Use a data driven approach to collaborate with relevant Trading, Quant, and Technology teams to expand and improve our systems, footprint, and latency across different strategies and exchanges
  • Review and analyze how we leverage our proprietary systems, identifying potential bottlenecks and considering how we can improve our technology stack to better our trading success