Quantitative Researcher
Our client, a crypto trading firm that span out of a prestigious hedge fund are seeking a Quantitative Researcher to develop alpha through systematic trading strategies. The successful candidate 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.
Key Responsibilities:
- Employing a rigorous scientific approach to develop sophisticated investment models and deliver insights into market behavior
- Applying quantitative techniques, such as machine learning, to a vast and innovative array of datasets
- Creating and testing complex investment ideas and developing algorithms that lead to trading decisions
- Analyzing investment model performance and behavior, aiming for constant improvements
- Collaborating with experienced developers to translate investment models into production code
Skill Set and Qualifications:
- Educational background in a 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 and 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 in English
- Willingness to travel periodically between the company's offices in NYC, London, and Zug, Switzerland
