Python Quant Developer

A well-established UAE-based fund is expanding its investment and research team, leveraging systematic strategies, data-driven research, and robust tech infrastructure to manage a diversified portfolio. They are looking for a Python Quant Developer to join their front-office research team with the ideal experience being across Python, SQL, systematic trading, analytical skills (eg. financial data analysis), statistics (bonus), and Macro (bonus). This individual will play a key role in the design, development, and enhancement of the fund’s proprietary trading systems, data analytics infrastructure, and systematic strategies. You will work closely with portfolio managers, researchers, and technologists to support and drive research, execution systems, and platform development. Key Responsibilities: System development: Build, maintain, and enhance quantitative research tools and systems including analytics engines, trading models, and data pipelines Research support: Collaborate with investment professionals on the development and backtesting of systematic trading strategies, signal generation, and portfolio construction Data & analytics: Engage in data acquisition, cleaning, and transformation; apply statistical techniques and financial analysis to derive actionable insights from complex data sets Team collaboration: Interface with researchers, engineers, and portfolio managers to translate investment hypotheses into production-ready code and tools Best practices: Document system architectures and processes; conduct code reviews and knowledge-sharing to ensure high standards in engineering and research workflows Ideal background: Strong Python and SQL programming skills, and highly proficient in handling financial datasets Experience in developing and implementing systematic trading strategies Strong analytical thinking with a background in statistics, econometrics, or data science Understand core financial concepts such as portfolio theory, risk models, and pricing of financial instruments Bachelor’s degree or higher in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Quantitative Finance. Advanced degrees (MSc/PhD) are a plus At least 5 years of relevant experience in a quantitative research or development role Prior hands-on experience building production-quality tools for systematic research and trading platforms