About the job
Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.
About connecthum:
Experience a quant-driven trading environment.
Engage in fast decision-making cycles that have a measurable impact on P&L.
Be part of a data-first culture.
Help scale research throughput to expedite strategy development.
In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.
Your Contributions:
Establish yourself as the primary expert in trading-related analytics and dashboards.
Take ownership of and enhance strategy rebalance frameworks.
Conduct hypothesis testing and backtesting on trading strategies.
Assess and optimize existing trading strategies.
Enhance access to clean, structured, and actionable data.
Develop reporting pipelines and insightful dashboards.
You will gain direct visibility into trading performance and the strategic impact of your work.
Technical Environment Overview:
Utilize Python for production-grade analytical workflows.
Engage in large-scale SQL querying and work with analytical databases.
Employ data visualization and dashboard tools.
Implement statistical modeling and hypothesis validation techniques.
Perform time-series analysis.
Your Strengths:
Proficient in Python with the ability to write clean, reproducible analytical code.
Confident in handling large datasets using SQL.
Strong grasp of statistics and probability principles.
Experience in data visualization and reporting.
Demonstrates an independent and self-motivated mindset.
Excellent communicator — able to translate complex data into actionable decisions.
Fluent in English.
Willingness to relocate to Dubai.
Preferred Qualifications:
Background in trading or financial domains is a plus.

