Data / ML / AI Intern
External
Dialecticch · Zug, SwitzerlandPrepare for this interview
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Responsibilities
- Sourcing, compiling, cleaning, and analyzing data across a range of markets.
- Analyze existing datasets to identify trends and biases.
- Demonstrating findings to the investment team and CIO through thoughtful data visualization.
- Building out and maintaining datasets of consolidated information, especially with respect to opaque markets.
- Tailor traditional portfolio optimization methods to a DeFi yielding book.
- Participate in the discussions of the investment committee about capital allocation decisions.
- Work closely with the Software team to automate data collection and analysis processes.
- Key Requirements:
- Experience with machine learning & statistical analysis methods.
- Strong Interest in the Cryptocurrency and especially DeFi space.
- Background in finance or computer/data science with a deep understanding of financial markets.
- Entrepreneurial mindset, be independent and be flexible.
- Development skills in Python.
- Skills in other languages, such as Rust and Solidity, would be considered a strong asset.
- Knowledge of database software tools, quantitative analysis, and data visualization.
- An understanding of the crypto markets and the web3 industry.
- Ability to find and clean data with respect to opaque markets.
- Advanced data visualization skills would be considered a strong asset.
- Self-motivated, disciplined, and detail-oriented.
Benefits
Additional Information
Company Overview: Dialectic, a crypto-native organization of builders and capital advisors, is seeking a Data Science intern to join the team on a full-time basis. This is a great opportunity to join a dynamic and fast-growing team, focused on investing in and building compelling software in emerging crypto and blockchain technologies. We produce outlier results through a series of diversified investment strategies in the decentralized finance ecosystem. Job Summary: We are offering a Data Science Internship for a person with strong skills who can perform deep quantitative analysis that informs capital deployment decisions and furthers our research into topics such as risk management, portfolio optimization, and market analysis.
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