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 Research Team Lead 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
Manage a team of quantitative researchers including mentorship, task allocation, and hiring
Establish research priorities in conjunction with Cumberland leadership, traders, and software engineers
Provide direction for the implementation of research platforms and strategies in production software systems
5+ years of professional financial markets quantitative research experience
Graduate degree with a focus on machine learning, signal processing, optimization, or statistics
Extensive experience programmatically working with large data sets in Python, C++, or similar programming languages
Excellent communication skills
Experience working in a distributed team environment is a plus
Experience in cryptoassets is not a requirement; training will be provided if necessary
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