We’re hiring a Data Scientist | Quantitative Analyst for a fast-growing trading firm expanding its research and analytics capabilities.
The Company Behind the Role:Quant-driven trading environment
Fast decision cycles with measurable P&L impact
Data-first culture
Scaling research throughput to accelerate strategy development
This role sits at the intersection of trading, data science, and strategic decision-making.
Your Impact:Become the go-to expert for trading-related analytics & dashboards
Own and improve strategy rebalance frameworks
Run hypothesis testing and backtesting on trading strategies
Evaluate and optimize existing strategies
Improve access to clean, structured, actionable data
Build reporting pipelines and insight dashboards
Direct visibility into trading performance and strategic impact.
Technical Environment (High-level):Python for production-grade analytical workflows
Large-scale SQL querying & analytical databases
Data visualization & dashboard tools
Statistical modeling & hypothesis validation
Time-series analysis
Strong Python skills (clean, reproducible analytical code)
Confident working with large datasets in SQL
Solid understanding of statistics & probability
Experience with data visualization & reporting
Independent, high-initiative mindset
Clear communicator — able to translate numbers into decisions
Fluent English
Open to relocation to Dubai
Experience in trading / financial domains
Time-series analysis background
Exposure to ML models (e.g., gradient boosting frameworks)
Experience building internal analytics dashboards
Flexible working hours
Relocation package to Dubai
Annual team off-sites
Direct exposure to trading performance
Fast career progression in quantitative trading
What We Do
ConnectHum is a global recruitment agency that helps growing tech startups hire and scale teams by connecting people, teams, and company values.
.png){kind=logo}
