DeFi Researcher – Up to $150K base Amicus has recently partnered with an exciting Blockchain foundation who spearhead projects aimed at uplifting both their community and the wider Ethereum ecosystem.
They are seeking a highly skilled and motivated DeFi Researcher who will play a pivotal role in developing robust quantitative models and uncovering insights from both establishing and emerging DeFi protocols.
Key Responsibilities: DeFi Protocol Research – evaluate novel protocols and explore innovative yield-generating strategies, potential usage and integration opportunities.
Statistical Analysis and Machine Learning – generate predictive models and analyse market microstructure, order book dynamics, and liquidity patterns.
Innovation and Collaboration – stay abreast of industry trends; collaborate with cross-functional teams to integrate quantitative insights into trading systems.
Reporting and Communication – prepare reports to communicate analytical findings to both technical and non-technical stakeholders; translate quantitative insights into actionable recommendations for investment and operational strategies.
Data Analysis and Interpretation – collect, clean, and analyse large datasets from blockchain networks (EVM and non-EVM chains).
Quantitative Modelling and Strategy Development – develop and refine models and algorithms for portfolio optimisation, risk management, volatility forecasting and execution of trading strategies.
Risk Management – identify and assess market, operational, and regulatory risks.
Qualifications: 2+ years of experience in a similar role in Web3.
Bachelor's, Master's or PhD degree in Mathematics, Statistics, Computer Science, Finance or a related quantitative field.
Proven experience in research and analysis of DeFi protocols, with a focus on identifying yield-generating opportunities.
Strong proficiency in quantitative analysis techniques, statistical modelling and data visualization.
Solid programming skills in Python, R or similar languages for data analysis and model implementation.
Experience with SQL and NoSQL databases and handling large datasets.
Familiarity with machine learning frameworks and alternative data sources for predictive modelling is highly desirable.
Benefits: $120K-$150K base salary.
Fully remote.
To be considered for the position, please send your resume to ******.