Entry Level Data Scientist jobs in United Arab Emirates
Data Analyst (Trading Metrics & Backtesting Support)
Ladwig consulting
Fire Alarm Technician
Secure State Services LLC
Data Analyst - UAE National Only, ICQA/LND Analytics Team
Amazon
Research & Data Analyst
Nathan & Nathan
Senior Data Engineer
BHFT
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Engineer
Foodics
Analytics Engineer / Senior Data Analyst
Deluxe Holiday Homes
AI Automation Specialist (n8n, API Integrations, WhatsApp Automation, Agentic AI)
DRS Holding AG
Connect with headhunters to apply for similar jobsSenior Data Engineer
Property Finder Group
Graduate Sustainability Data Analyst — Power BI & Reporting
dmg events
Sustainability Data Analyst
dmg events
Senior Data Engineer (GCP)
CODERS CONNECT LTD
Analyst - Data & AI (UAE National)
Consultz
HR Data Analyst
Sundus Recruitment and Outsourcing Services, Abu Dhabi
Data Engineer
Zone IT Solutions
Remote Data Engineer — Data Quality & Automation
Clinical ink
AI Security Solutions Specialist - Remote GTM
Palo Alto Networks
Offshore CPT Operator — Geotechnical Data Specialist
Boskalis
Senior Market Data Engineer
BHFT
Data Analyst (Trading Metrics & Backtesting Support)
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
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
Tools
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.
- 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).
- 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.
- Opportunity to work in a dynamic environment.
- Be part of a high-performing team.
- Competitive salary with excellent growth opportunities.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.