• Source, clean and combine selected on-chain, spot, derivatives, ETF, macro and portfolio data
• Develop and test investment signals and indicators across market regimes, liquidity, positioning and risk, with transparent assumptions and checks against look-ahead bias and overfitting
• Build maintainable Python and SQL workflows for data ingestion, quality checks, calculations and recurring analysis
• Help develop our investment platform’s data and analytics components, including versioned model inputs, House View evidence, benchmark and target histories, and outputs for dashboards and reports
• Calculate model portfolio returns, exposures, drawdowns, contributions, drift and liquidity measures for model portfolios
• Support the translation of investment views into model allocation proposals and scenario analysis, working with Investment Strategy on methods, constraints and validation
• Work with the platform developer, Operations and system owners on data contracts and phased PMS handovers
• Produce clear charts, monitoring views and targeted analysis for Research, the investment process, advisors and client-facing teams

What you bring along

• BA/MA in finance, economics, engineering, computer science or a related analytical field (CFA, CAIA, CMT are an advantage)
• 4+ years of experience in investment research, macro strategy, portfolio analysis or crypto-native research
• A deep passion and fascination for the industry
• Profound understanding of crypto markets, protocols, token models and sector-level dynamics
• Strong interest in macroeconomics, global liquidity cycles, market structure and digital-asset valuation
• Demonstrated ability to work with data (Python/R/SQL are an advantage) and to build clear, compelling charts and analytical frameworks
• A high-energy, curious, humble, self-driven, and open-minded personality with strong ownership and the ability to collaborate in a small, high-performing team
• Excellent communication skills both in writing and conversation
• Ability to articulate complex terms and concepts to institutional audiences and non-technical stakeholders
• Exact, diligent working style, the ability to own projects end-to-end and thrive in a high-pace environment
• Excellent English in writing and speaking (German is a advantage)