Data Analyst (Trading Metrics & Backtesting Support)

Ladwig Consulting; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Ladwig Consulting is seeking a Quantitative Analyst (Crypto Market) to join the data and strategy team. You will build robust datasets, run backtests, and transform trading data into actionable insights using advanced analytics and visualization tools.

The role involves developing dashboards to monitor ROI, drawdown, Sharpe ratio, and win rate, plus weekly insights reports. A dynamic crypto environment with growth opportunities awaits.

Qualifications

• Proficiency in Python with pandas and NumPy.
• Strong SQL skills and data manipulation.
• Experience with backtesting or strategy simulation.
• Analytical thinking and data visualization ability.

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, win rate).
• Conduct detailed post-trade analysis and weekly insights reports.
• Support data automation and visualization pipelines (Power BI / Streamlit / Dash).

Skills

Python

SQL

Backtesting

Data analysis

Visualization

Tools

Power BI

Streamlit

Dash

Pandas

NumPy

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:

• Buildand maintain structured datasets of price, volume, and position data.
• Runstrategy backtests in coordination with the Algo Developer.
• Developdashboards for tracking trade performance (ROI, drawdown, Sharpe ratio,win rate, etc.).
• Conductdetailed post-trade analysis and generate weekly insights reports.
• Supportdata automation and visualization pipelines (Power BI / Streamlit / Dash).
  

Requirements

• Strongexperience with Python(pandas, NumPy) and SQL .
• Understandingof backtesting frameworks or strategy simulation.
• Stronganalytical and visualization capabilities.
• Experiencein trading, quantitative research, or financial analytics preferred.
• Opportunity to work in a dynamic environment.
• Be part of a high-performing team.
• Competitive salary with excellent growth opportunities.