Quantitative Researcher
Tardis Group · Hong Kong, Hong Kong SAR
قدّم وتابع مع أبلاي إيدجRole OverviewIn this role, you will work closely with senior researchers and portfolio managers to discover, test, and implement quantitative trading signals. This is a hands-on position ideal for someone with a strong analytical foundation who is eager to learn the mechanics of systematic investing from the ground up.Key ResponsibilitiesIdea Generation: Brainstorm and research alternative data sources and quantitative alpha factors.Backtesting & Analysis: Design, test, and evaluate trading strategies using historical market data.Data Wrangling: Clean, process, and organize large datasets to ensure high research integrity.Collaboration: Partner with engineering teams to help transition validated research strategies into live production environments.Candidate RequirementsEducation: Master’s degree or Ph.D. in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, Finance, or Engineering).Programming Skills: Proficiency in Python (Pandas, NumPy) for data analysis and research.Analytical Mindset: Strong foundation in probability, statistics, and data-driven problem-solving.Curiosity & Drive: A genuine passion for financial markets and a strong desire to learn systematic trading strategies.