Job Application for Quantitative Researcher (HFT) at Time Research

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

Trade and research systematic trading strategies on multi-market futures and options, with a focus on the arbitrage of derivatives
Develop trading strategies and contribute to portfolio construction and multi-factor alpha blending
Effectively use machine learning tools to model data and conduct strategy backtesting and optimization
Work closely with your trading team to implement algorithmic trading strategies
Responsible for the operation and risk monitoring of trading strategies

Who You Are

Master degree in Science, Engineering or Quantitative Finance with a strong academic background
2-3 years of trading or research experience with high frequency quantitative strategies
Familiar with market microstructure and backtesting systems
Experience with mathematical and statistical modeling, strategy optimization, and able to analyze large financial datasets
Proficient in a programming language such as python, C++ or C, familiar with code acceleration methods, and have a good understanding of system architecture, framework and deployment
Familiarity with network design and reducing latency would be a plus
Experience in the development of cutting-edge machine learning techniques would be good to have
Demonstrable passion in the digital asset space
Creative problem solver who is intellectually curious
Fluent in both English & Mandarin in order to communicate effectively with colleagues across different regions

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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