Data Analyst (Trading Metrics & Backtesting Support)
Posted Updated
Description
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.