What We Do

Time Research is a quantitative trading firm founded in 2019, utilizing a diversified portfolio of systematic and quantitative strategies to achieve high quality, uncorrelated returns. We were founded by a team of traditional and crypto trading veterans with an average daily trading volume of over $2B USD at over 15 crypto trading venues.

We specialize in multi-strategy quantitative trading across a broad range of digital assets, employing diverse approaches such as liquidity provision, market making, statistical arbitrage, systematic long/short, DeFi strategies, and direct external investments.

As a technology and research-driven firm, we design and build our own cutting-edge systems: from high performance trading, large scale data analysis to compute farms. As active and passionate participants in the digital asset space, we are dedicated to building a better and more sustainable long-term future for the industry, while maintaining a low profile to focus on what we do best.
 
What You Will Do
We are seeking a highly skilled Quantitative Developer with expertise in C++ to join our dynamic team. The ideal candidate will work closely with our quantitative research team to design, develop, and optimize algorithms and systems for financial market trading.
  • Develop and maintain high-performance trading systems and algorithms.
  • Collaborate with quantitative researchers to translate mathematical models and strategies into efficient code.
  • Optimize existing trading systems to ensure low latency and high throughput.
  • Conduct code reviews to ensure code quality and performance.
  • Analyze and resolve technical issues and bottlenecks in the system.
  • Evaluate and introduce new technologies and tools to enhance system performance and development efficiency.
 
Who You Are
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proficiency in C++ programming language with 3+ years of hands-on development experience.
  • Familiarity with multi-threaded programming and parallel computing.
  • Basic knowledge of financial markets and trading systems.
  • Excellent problem-solving and analytical skills.
  • Strong teamwork and communication skills.
  • Experience with other programming languages (such as Python, Java) is a plus.
  • Experience in high-frequency trading (HFT) system development is a plus.
  • Experience in option pricing models and techniques is a plus.

Why Join Us

  • Competitive remuneration package and a meritocratic culture where accomplishments are rewarded
  • Fast paced and result-oriented with a flat structure
  • Teams collaborate in a casual working environment
  • Excellent exposure to the digital asset ecosystem and the latest market insight
  • Great career development opportunities

 

Disclaimer
Time Research does not accept unsolicited resumes from any professional staffing or search firms. All resumes, or any other information identifying potential candidates, shared with any employee of Time Research by any method without a standing signed supplier agreement will be deemed free to contact without restrictions, and no placement fee of any kind will be paid in the event the candidate is hired by Time Research.

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