HF Algo Trading Systems Engineer

HRB; New York (NY); On-site; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking an Algo Trading Systems Engineer to enhance their Trading and Research Infrastructure team. In this pivotal role, you will manage the deployment and maintenance of critical systems, ensuring optimal performance for latency-sensitive applications. You will design innovative scheduling mechanisms and oversee the operation of clustered file systems while conducting data mining analysis to gather valuable insights. This is an exciting opportunity to work in a fast-paced environment where your technical expertise will directly impact trading strategies and system efficiencies. If you are passionate about technology and thrive in dynamic settings, this role is perfect for you.

Qualifications

• 3+ years of experience in developing systematic trading systems.
• Proficiency in Linux-based systems is essential.

Responsibilities

• Manage deployment and maintenance of servers and networking devices.
• Design and implement scheduling mechanisms for system operations.

Skills

Python

Golang

Rust

Data Mining

System Performance Optimization

Education

Bachelor's degree in Computer Science

Degree in related engineering discipline

Tools

Linux

Clustered File Systems

Job description

Our client (a world leading hedge fund) seeks an Algo Trading Systems Engineer to join their Trading and Research Infrastructure team.

Responsibilities:
- Manage the deployment, maintenance, and monitoring of servers, networking devices, data storage systems, and other hardware components
-Design and implement scheduling mechanisms
- Design, implement, and manage the ongoing operation of clustered file systems
-Gather metrics and conduct data mining analysis
-Maximize system and network performance for latency-critical and high-throughput applications.


Requirements:

• A bachelor's degree in computer science or a related engineering discipline is mandatory
• Minimum three years of hands-on experience in the development of systematic trading systems, utilizing languages such as Python, Golang, Rust, or similar
• Proficiency in working with Linux-based systems is expected