Data Analyst (Trading Metrics & Backtesting Support)

Ladwig consulting; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading crypto finance platform in Dubai is looking for a Quantitative Analyst (Crypto Market) to join their data and strategy team. This role involves building datasets, conducting backtests, and developing dashboards for trade performance tracking. The ideal candidate will have strong skills in Python and SQL, with experience in trading or quantitative research. Competitive salary and growth opportunities await.

Benefits

Opportunity to work in a dynamic environment

Be part of a high-performing team

Competitive salary with excellent growth opportunities

Qualifications

• 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.

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.
• Conduct detailed post-trade analysis and generate weekly insights reports.
• Support data automation and visualization pipelines.

Skills

Python (pandas, NumPy)

SQL

Analytical capabilities

Visualization capabilities

Tools

Power BI

Streamlit

Dash

Job 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.