Data Scientist

Our client is expanding its trading research and analytics capabilities. To scale company research throughput and enable more robust, data-driven decision-making, we’re looking for a Data Scientist.

Responsibilities

• Analyze large data sets to identify patterns, trends, and anomalies that impact trading performance.
• Provide quick and accurate insights for real-time decision-making and strategic initiatives.
• Collaborate with the trading team to enhance strategies and operations through custom data analysis.
• Develop, maintain, and improve dashboards using Business Intelligence (BI) tools to track trading performance and operational KPIs.
• Work closely with traders to refine reporting needs and deliver scalable solutions.
• Implement and run A/B tests to measure the performance of trading strategies, algorithms, and operational processes.
• Interpret results to provide actionable recommendations for optimizing system performance.

Required skills & experience

• Degree in Mathematics, Physics, Economics, or Computer Science.
• Basic understanding of software development principles.
• Proficiency in SQL for querying and analyzing large data sets.
• Experience with Python for data manipulation and visualization.
• Strong knowledge of probability and statistics, including experimental design and inference.
• Understanding of concepts, workflows, and methods for managing large data sets using analytical and quantitative approaches.
• Experience working with time-series data.
• Excellent problem-solving abilities with strong attention to detail.
• Proven ability to manage multiple responsibilities efficiently in a dynamic, collaborative environment.

Bonus Points

• Experience in math competitions.
• Hands-on experience with Business Intelligence (BI) tools.
• Exposure to financial or trading data.
• Familiarity with market mechanics, trading strategies, or concepts in quantitative finance.

What we offer

• Relocation packages (Dubai office).
• The opportunity to work in a thriving, multicultural, fun environment in one of the world’s fastest-growing industries.
• Annual workations. Twice a year, the team pack our bags and head off on a week-long work retreat so we can hang out in real life.