Offer summary

Qualifications:

MSc or PhD in a research-intensive STEM field such as Computer Science, Statistics, Mathematics, Physics, or Engineering., Strong coding skills in Python, Golang, or C++ with 2 to 5 years of experience required., Experience in a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader is essential., Demonstrated passion for quantitative trading strategies and ability to analyze large datasets..

Key responsabilities:

Conduct research and development for new trading strategies and asset trading.

Implement and execute quantitative trading strategies, automating them where applicable.

Complete several independent research projects with guidance from the team.

Engage in mid/long term frequency trading and cryptocurrency trading research.

Company Information: Kronos Research is a technology and science-driven trading firm. We risk firm capital, trading a broad range of financial instruments and strategies on global markets. The firm is willing to pursue new ideas and markets with conviction and as such, we have been at the forefront of technology and markets, quickly dominating newer markets such as applying HFT to cryptocurrency trading. Kronos trades on average more than $5 Billion USD / day just in crypto volume alone. Our team has grown quickly from 2 in 2018 to the now 80+ team at our Taipei headquarters and office in Shanghai with more locations on the way. Mission Statement: Together we work on meaningful goals and solve complex problems. Our team is defined by a high-performance culture that values collaboration and meritocracy. We like being challenged and don’t mind putting in the hard work. While the recognition and extremely competitive compensation make it a sweet place to work at, we are united fundamentally by our love and curiosity for innovation in financial markets and technology. The next phase of our company will be about becoming the best place for liquidity and using that position to create positive change. Our ultimate goal is to provide the infrastructure to make investing and trading easier and fairer for people around the world. One day, in any country, people will be able to invest in a Japanese stock, a German hedge fund, or a new cryptocurrency. Check out our current openings on: https://grnh.se/b00d843a3us

Job description

*This is a fully remote internship position, candidates based in Hong Kong or other cities in Asia are preferred. Please note that we don't have physical office in HK*

*Internship can start at your preferred date upon discussion with the team. For students who don't reside in Asia, please note that you may be required to interview and conduct sync-up meetings in Asia hours*

Job Description

We are looking for Quant Researcher intern that has strong coding skills (Python, Golang or C++), a demonstrable curiosity about mid/long term frequency trading, quantitative trading, and some knowledge of cryptocurrency trading.
The role will involve a significant amount of research and development when testing and asset trader on developing new trading strategies. You will also be heavily involved in researching, implementing, and executing strategies, and automating them where applicable.

Requirements

An MSc / PhD in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering etc)
Degree from a top-tier university
A passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets
Self-motivated and strong research mindset
You are required to finish several research projects independently with guidance from the team during this internship period
Strong coding skills essential, 2 to 5 years of experience coding in Python, Golang,or C++ is required (test required)
The candidate must have completed at least a 3-month internship or full-time position at a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader, with prior involvement in alpha-related projects during the internship (school projects are not considered, nor is experience as a data analyst).

Desirable Skills