Quantitative Researcher at numus | London, New York, Zug

numusLondon, New York, or Zug (Switzerland)

Hybrid Full-time $125K/yr - $250K/yr

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Experience Level

Experience

Qualifications

Skill Set and Qualifications:Degree in a technical discipline, ideally Mathematics, Statistics, Physics, or Theoretical Computer Science. Extensive experience in model development, backtesting, parameter optimization, execution engine design, and performance assessment. Exceptional analytical abilities; proficient in handling and interpreting large datasets. Strong skills in mathematical and statistical modeling (e.g., time-series analysis). Independent thinker with a creative approach to data analysis and the capability to articulate complex concepts clearly. Basic familiarity with the digital asset domain is advantageous but not mandatory. Intermediate programming proficiency in Python and C++. Fluency in English is required. Willingness to travel periodically between our offices in New York City, London, and Zug, Switzerland.

About the job

Key Responsibilities:

Utilize a scientific approach to design advanced investment models and uncover market behaviors.
Leverage quantitative techniques, including machine learning, across diverse and innovative datasets.
Formulate and evaluate complex investment strategies while developing algorithms for trading decisions.
Assess investment model performance and behavior, striving for ongoing enhancements.
Collaborate closely with our team of adept developers to transform investment models into executable code.

About numus

At numus, we are at the forefront of the digital asset revolution, continuously innovating in trading strategies and models. Our team thrives in a resource-rich startup environment where your contributions can make a significant impact.

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