Python Quantitative Developer

Overview

They are looking for a strong Python Quant Developer to join their front‑office research team with ideal experience across Python, SQL, systematic trading, analytical skills, financial data analysis, statistics, and macroeconomics.

• 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.

• Strong Python and SQL programming skills, 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.
• Understanding of 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.