A crypto market-making platform driving over $2B in monthly trading volume across global exchanges. We’re building the infrastructure that powers next-gen financial products — blending deep quantitative models, data engineering, and real-world markets. We’re looking for sharp minds who thrive on messy data, market dynamics, and uncovering insights that move business levers. Role: Quant Data Analyst Location: Remote Team: Quant / Data / Research What You’ll Do Dive into trading and market data to detect patterns, anomalies, and edge. Build and validate quantitative models (time series, factor models, regime detection). Collaborate with trading, product, and engineering teams to turn insights into action. Design dashboards, visualizations, and reports to surface KPIs and performance. Backtest hypotheses rigorously and ensure model robustness. Maintain high standards for data quality, consistency, and versioning. What You Bring 2+ years of experience in quant analysis, data science, trading, or financial analytics. Strong proficiency in Python, SQL, and libraries like Pandas, NumPy, and SciPy. Solid grounding in statistics, probability, and time series / regression modeling. Experience with market or trading data, including derivatives or order books. Excellent analytical thinking, attention to detail, and ability to communicate quantitative insights. Comfortable in a fast-paced, ambiguity-tolerant, and outcome-driven environment. Nice to Have Experience in crypto, digital assets, or exchanges. Familiarity with backtesting frameworks, signal generation, or portfolio metrics.
A crypto market-making platform driving over $2B in monthly trading volume across global exchanges. We're building the infrastructure that powers next-gen financial products blending deep quantitative models, data engineering, and real-world markets. We're looking for sharp minds who thrive on messy data, market dynamics, and uncovering insights that move business levers. Role: Quant Data Analyst Location: Remote Team: Quant / Data / Research What You'll Do Dive into trading and market data to detect patterns, anomalies, and edge. Build and validate quantitative models (time series, factor models, regime detection). Collaborate with trading, product, and engineering teams to turn insights into action. Design dashboards, visualizations, and reports to surface KPIs and performance. Backtest hypotheses rigorously and ensure model robustness. Maintain high standards for data quality, consistency, and versioning. What You Bring 2+ years of experience in quant analysis, data science, trading, or financial analytics. Strong proficiency in Python, SQL, and libraries like Pandas, NumPy, and SciPy. Solid grounding in statistics, probability, and time series / regression modeling. Experience with market or trading data, including derivatives or order books. Excellent analytical thinking, attention to detail, and ability to communicate quantitative insights. Comfortable in a fast-paced, ambiguity-tolerant, and outcome-driven environment. Nice to Have Experience in crypto, digital assets, or exchanges. Familiarity with backtesting frameworks, signal generation, or portfolio metrics.