Numus is hiring a
Quantitative Researcher

Summary

The job is for a Quantitative Researcher at Numeus, a digital asset investment firm. The role involves developing sophisticated investment models, applying quantitative techniques like machine learning, creating and testing complex investment ideas, analyzing model performance, and working with developers to translate models into production code. The ideal candidate has a technical educational background, experience in model building, strong analytical skills, mathematical and statistical modeling skills, ability to think independently, creatively approach data analysis, basic knowledge of the digital asset space, intermediate programming background in Python and C++, and fluent English.

Requirements

• 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
• Intermediate programming background in Python and C++
• Fluent English speaker
• Ability to travel periodically between our offices in NYC, London and Zug, Switzerland

Responsibilities

• 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

Preferred Qualifications

Basic knowledge of the digital asset space is beneficial, but not required

Benefits

• The salary for this role is anticipated to be between $125,000 and $250,000
• This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans