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. 

Responsibilities:

• 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.

Requirements:

• 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

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