Cumberland - a DRW Company, is the cryptoasset arm of DRW, established in 2014 after pursuing an early interest in cryptoassets and their underlying technologies. Today, Cumberland is a global leader in cryptoassets, uniquely positioned between the traditional financial markets and the cryptoasset ecosystem. From our offices in Chicago, London and Singapore, Cumberland provides 24-hour access to a wide array of cryptoassets while helping the crypto ecosystem evolve in a responsible, sustainable way.
We are currently looking for a Quantitative Researcher to join our growing cryptoassets trading team.
Develop new and improve existing quantitative or algorithmic trading strategies.
Identify and explain structural market inefficiencies and characterize them via mathematical models
Identify and implement predictive price signals using machine learning, signal processing, and statistics.
Develop strategies to optimize execution utilizing market microstructure analysis.
Graduate degree with a focus on machine learning, signal processing, optimization, or statistics
Demonstrable experience formulating research problems, performing the associated research, and producing working systems or design specifications.
Extensive experience programmatically working with large data sets in Python, C++, or similar programming languages.
Excellent communication skills
Experience with financial markets is a plus, but not a requirement. Training will be provided.
Working in a distributed team environment is a plus
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.