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.Skills Required
Numpy, Scipy, Pandas, probability , Statistics, Sql, Python