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Quantitative Trading Systems Engineer - Remote

Posted 21 weeks ago
Software Development
Full Time
Worldwide

Overview

Orderly is revolutionizing decentralized trading platforms by concentrating liquidity into one order book, aiming to simplify and secure trading for everyone.

In Short

  • Test, deploy, and operate automated high-frequency quantitative trading systems
  • Monitor risk exposure, pnl and system status of hundreds of trading processes
  • Adjust model configs and parameters based on market conditions
  • Suggest automation and improvements to the systems
  • Contribute to trading desk activities including position and pnl reconciliation
  • Generate feedback on trading system performance
  • Communicate relevant news and market events to team members

Requirements

  • Bachelor's degree in Engineering, Sciences, Math, Economics, Finance (or equivalent)
  • Strong work ethic and willingness to do what it takes to get the job done
  • Must be motivated, dependable, and responsible
  • Ability to use sound judgment under pressure
  • High attention to detail
  • Ability to understand and reason about complex trading systems
  • Basic SQL, JavaScript, Java programming and scripting knowledge in a Linux environment
  • Previous trading experience a plus

Benefits

  • Opportunity to work in a cutting-edge field of decentralized finance
  • Collaborative and innovative work environment
  • Potential for career growth and development
  • Flexible working conditions
Orderlynetwork logo

Orderlynetwork

Orderly Network is an innovative platform that combines orderbook-based trading infrastructure with a robust liquidity layer, offering both spot and perpetual futures orderbooks. Unlike traditional trading platforms, Orderly operates without a front end, serving as a foundational service provider for projects built on top of its ecosystem. The company is focused on enhancing the decentralized finance (DeFi) landscape by providing essential tools and services that empower developers and projects in the blockchain space.

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