Manager, Business Intelligence - Crypto Trading
Skills
About the Role
You will lead data strategy for crypto trading and DeFi, build and maintain quantitative models and predictive analytics, and design high-fidelity dashboards. You will mine high-volume on-chain and off-chain datasets, ensure data quality across pipelines, troubleshoot anomalies, and present clear, actionable findings to stakeholders to influence trading and treasury decisions.
Requirements
- Bachelor’s or Master’s degree in Data Science Computer Science Quantitative Finance Economics or related field
- 7+ years of progressive experience in data science or quantitative analytics preferably within trading hedge fund or fintech
- Expertise in statistical modeling time series analysis and predictive analytics applied to financial datasets
- Proficiency with data visualization tools such as Tableau and Looker
- Expert skills in Python including NumPy and Pandas and in SQL for complex data manipulation
- Experience working with high-frequency and high-volume data and managing end-to-end data analysis projects and database architecture
- Experience with BigQuery Snowflake and dbt
- Strong working knowledge of cryptocurrency blockchain technology and DeFi protocols preferred
- Exceptional problem-solving analytical and technical communication skills
Responsibilities
- Design, develop, and maintain quantitative models and analytical tools for trading performance, capital efficiency, and P&L analysis
- Apply advanced statistical and time series techniques to optimize liquidity, treasury yield, and risk exposure in proprietary trading and DeFi
- Partner with Trading, Research, Risk, and Treasury Operations to deploy data-driven solutions and reporting
- Design and implement dynamic real-time dashboards and visualization tools for trading metrics and risk indicators
- Analyze high-volume datasets including exchange order books, on-chain transaction logs, and smart contract data to identify trends and risks
- Ensure data accuracy and integrity across market and financial data pipelines
- Present findings and recommendations to senior stakeholders using data storytelling
Benefits
- Discretionary annual target bonus
- Performance incentives