Linux/Python Quantitative Strategies SRE (200-300k)

Linux/Python Quantitative Strategies SRE (250-400k) Summary An elite tech-driven hedge fund headquartered in NYC is tackling problems thro...

Linux/Python Quantitative Strategies SRE (250-400k)

Summary

An elite tech-driven hedge fund headquartered in NYC is tackling problems through experimentation and analysis - their team leverages AI and ML techniques to process millions of messages per second and analyze its effects on each asset class in real-time. With over 42 billion in assets under management and over 95% retention, the firm is primed to rapidly expand the business and scale its technology systems in tandem.

Responsibilities

The firm looking for strong Linux/Python engineers to join their product development/support team in expanding the capabilities of their bare-metal systems while supporting Researchers/Quants and Execution Traders. The mission is to build out the self-service tools, dashboards, and platforms that will enable and expand the capabilities of operationally resilient and scalable applications. You will:

• Collaborate with Researchers and Quants on improving their backtesting environments.
• Gather and analyze metrics of both operating systems and applications to continuously design, develop, and improve tools, processes, and software
• Design and implement advanced monitoring solutions and automated fault-finding capabilities for high-frequency trades
• Educate and evangelize DevOps best practices to the company

Requirements

• A bachelor's degree in computer science or an equivalent experience or technical background
• Ability to program in one or more high-level languages (Python, Java, Go, C/C++)
• Expertise (or desire to learn more) in cloud computing, distributed systems, systems programming, host-based networking, or infrastructure engineering
• An ability to understand trade-offs between software architectures
• Experience with automation and using algorithmic approaches to solve problems

Not In The Job Description

Department head will consider someone Junior if they demonstrate solid Linux experience (obviously beyond just user level) and has built OO python applications (ideally using NumPy, pandas, etc) The role is unique because the engineers need to be comfortable troubleshooting bare-metal Linux platforms processing massive amounts of ML-based data as well as writing clean python code. The Department head will hire two immediately.