We are looking for a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, fast-evolving, and filled with innovative sources of alpha and trading opportunities.
Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
Create and test complex investment ideas and develop algorithms that lead to trading decisions
Analyze investment model performance and behavior, aiming for constant improvements
Work closely with our team of experienced developers to translate investment models into production code
Skill Set and Qualifications:
Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science
Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking
Strong analytical skills; experience working with, and analyzing, large datasets
Strong mathematical and statistical modeling skills (e.g. time-series)
Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly
Basic knowledge of the digital asset space is beneficial, but not required
Intermediate programming background in Python and C++
Fluent English speaker
Ability to travel periodically between our offices in NYC, London and Zug, Switzerland
Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.
The salary for this role is anticipated to be between $125,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.
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