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IMIMC

Quantitative Researcher – Digital Assets(m/w/x)

Zug
Full-timeOn-siteExperienced
AI/ML
Data Science

Developing and testing trading models and algorithms for crypto markets. Advanced degree in a quantitative field required. Focus on execution quality and cost reduction.

Requirements

  • Advanced degree in quantitative field
  • Quantitative Researcher experience, ideally in high/mid-frequency delta one execution research
  • Market microstructure, order book dynamics, execution costs, short-term price movements understanding
  • Developing predictive features from trade, order, order book data experience
  • Demonstrable interest in cryptocurrency markets; practical crypto trading/research experience preferred
  • Significant practical experience with large, messy, high-frequency datasets
  • Position management, market risk, optimal execution, implementation shortfall, transaction cost modelling understanding
  • Strong Python skills and SQL/database query language experience
  • Scientific mindset with rigorous, structured approach to testing, validation, robustness, avoiding overfitting
  • Ability to write clean, reliable code for research/trading systems
  • Strong sense of ownership, accountability, and curiosity
  • Technical achievements like Kaggle, hackathons, Olympiads, publications, open-source contributions are a plus

Tasks

  • Develop and test trading models and algorithms
  • Improve execution strategies in crypto markets
  • Research execution quality in various trading contexts
  • Reduce trading costs and enhance performance
  • Generate testable signals using market data
  • Collaborate with researchers, traders, and developers
  • Translate research into production strategies
  • Design high-frequency trading frameworks
  • Conduct alpha research and market impact modeling
  • Perform execution benchmarking and performance profiling
  • Analyze large datasets for post-trade analytics
  • Decompose PnL and monitor strategy performance
  • Build tools for identifying trading blind spots
  • Measure and reduce trading costs
  • Uncover new trading opportunities
  • Take ownership of research initiatives
  • Implement and provide production feedback

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • SQL
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