Trading Systems Engineer

Quantitative trading firm specializing in systematic and quantitative strategies across digital assets, with $2B USD daily trading volume.
Backend
Mid-Level Software Engineer
In-Person
Finance · Blockchain

Description For Trading Systems Engineer

Time Research is a dynamic quantitative trading firm established in 2019, specializing in digital assets trading with an impressive daily volume exceeding $2B USD across 15+ crypto venues. The company combines traditional and crypto trading expertise to deliver uncorrelated returns through diverse strategies including liquidity provision, market making, and systematic trading.

As a Trading Systems Engineer, you'll join a cutting-edge team responsible for building and optimizing ultra-low latency trading and risk management systems. Your work will directly impact the firm's ability to execute trades efficiently across major cryptocurrency exchanges worldwide. The role offers a unique opportunity to work with state-of-the-art technology in the digital asset space.

The ideal candidate should possess strong C++ programming skills, experience with financial systems, and a deep understanding of low-latency optimization. You'll work in a fast-paced, meritocratic environment that values technical excellence and innovation. The position offers exposure to the latest developments in crypto trading and the opportunity to work with advanced trading technologies.

This role is perfect for someone who thrives in a high-performance environment, has a passion for building efficient trading systems, and wants to be at the forefront of the digital asset trading industry. With locations in Singapore or Shanghai, you'll be part of a global team that's shaping the future of quantitative trading in the crypto space.

Last updated 3 days ago

Responsibilities For Trading Systems Engineer

  • Architecture design, development and performance optimization of trading and transaction risk management systems
  • Building ultra low latency trading and risk management systems
  • Reducing latency through algorithm and network optimization
  • Supporting strategies deployed globally
  • Ensuring system stability and efficient operation

Requirements For Trading Systems Engineer

Python
Redis
Kafka
  • Bachelor/Master degree in Computer Science or similar discipline with strong academic background
  • Proficiency in C++, C++11 and above, familiar with Python or other scripting languages
  • Development experience in financial services or tech firms
  • Familiar with Linux environment, multithreading, TCP, UDP communication
  • Experience with Kafka, ElasticSearch, Redis, Clickhouse, S3
  • Experience in trading and/or risk management systems preferred
  • Fluent in both English & Mandarin

Benefits For Trading Systems Engineer

  • Competitive remuneration package
  • Meritocratic culture with rewards for accomplishments
  • Fast paced and result-oriented with flat structure
  • Casual working environment
  • Excellent exposure to digital asset ecosystem
  • Great career development opportunities

Interested in this job?

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