Senior Data Analyst
Key Responsibilities
Analyze user behavior across multiple product lines — Futures, Options, TradFi perpetuals, and Loan — covering the full lifecycle from onboarding and first activation, to active usage patterns, retention, and churn signals
Build and maintain dashboards and automated reports tracking performance across all business lines, including trading volume, open interest, fee revenue, loan portfolio health, and key user indicators (activation rate, retention rate, revenue per user, NPL, etc.)
Conduct product-specific deep-dives as needed: futures trading strategy patterns, leverage usage, and liquidation dynamics; options volume breakdown, IV trends, and Greeks exposure; TradFi cross-asset attribution by product line; loan draw-down trends, repayment flows, and interest yield
Identify and segment high-value users across trading and lending verticals; model trading LTV, credit behavior, and strategy classification to support product design, fee structure optimization, and risk appetite decisions
Monitor data quality and integrity across trading and lending systems; surface and resolve metric discrepancies and anomalies
Support business, product, risk, and compliance teams with ad-hoc analyses, A/B test evaluation, and impact assessments for new products, feature launches, and campaigns
Develop and maintain data models and ETL pipelines covering futures, options, TradFi, and loan datasets
Collaborate with cross-functional stakeholders — product, risk, finance, operations, and compliance — to define metrics, align on data definitions, and standardize reporting frameworks
Required Qualifications
Fluent in English and Mandarin (written and spoken)
5+ years of experience in data analysis, business intelligence, or a related analytical role
Background in at least one relevant domain: futures/derivatives trading, options products, TradFi financial products, or lending/consumer finance
Strong proficiency in SQL and at least one of Python or R
Experience with BI/visualization tools (Tableau, Looker, Power BI, or similar)
Solid understanding of user lifecycle analytics across financial products
Strong analytical thinking with the ability to translate complex data into clear, actionable insights
Able to work independently in a remote, cross-timezone environment
Preferred Qualifications
Familiarity with crypto products across multiple verticals: perpetual futures, USDC-margined options, TradFi perpetuals (equities, metals, FX), and crypto lending (collateralized, UTA, flexible/fixed credit lines)
Experience with credit scoring, risk modeling, trading flow analysis, or market microstructure
Experience with statistical analysis, time-series forecasting, or quantitative/ML techniques applied to trading or lending scenarios
Prior experience at a crypto exchange, digital asset platform, traditional brokerage, or fintech with multi-product capabilities