Data Analyst (Trading Metrics & Backtesting Support)

Our client is a next-generation crypto finance platform serving high-net-worth individuals (HNWIs) and institutional investors. With a focus on innovation, transparency, and precision, they deliver secure and sophisticated solutions for digital asset trading, investment, and portfolio management. As part of their mission to redefine private wealth in the digital era, they are looking for a Quantitative Analyst (Crypto Market) to join the data and strategy team. This role offers a unique opportunity to work closely with traders and developers—building robust datasets, running quantitative backtests, and transforming complex trading data into actionable insights through advanced analytics and visualization tools. Responsibilities: Build and maintain structured datasets of price, volume, and position data. Run strategy backtests in coordination with the Algo Developer. Develop dashboards for tracking trade performance (ROI, drawdown, Sharpe ratio, win rate, etc.). Conduct detailed post-trade analysis and generate weekly insights reports. Support data automation and visualization pipelines (Power BI / Streamlit / Dash). Requirements Strong experience with Python (pandas, NumPy) and SQL. Understanding of backtesting frameworks or strategy simulation. Strong analytical and visualization capabilities. Experience in trading, quantitative research, or financial analytics preferred. Benefits Opportunity to work in a dynamic environment. Be part of a high-performing team. Competitive salary with excellent growth opportunities.