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A leading investment management firm in Singapore is seeking a Quantitative Researcher to join their collaborative team. You will focus on systematic equity strategies, conducting alpha research and implementing predictive models. Ideal candidates possess a Master's or PhD in a quantitative field, strong Python programming skills, and experience with Asian markets. This role offers a dynamic work environment and opportunities for growth.
Quantitative Researcher as part of a collaborative London-based team, with a focus on systematic equity strategies.
Asia office (Singapore, Hong Kong, Tokyo)
Working alongside the SPM on alpha research, with a primary focus on : idea generation, data gathering and research / analysis, model implementation and backtesting for systematic equity strategies - typically approaching ideas from an Asian perspective, but applying them globally
Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
Continuously fine tune Asia portfolio's optimization
Conduct risk analysis of live performance and pnl attribution
Handling live trading operations in Asia market including failed orders, futures trading / rolling.
Strong research and programming skills in Python are necessary
Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field from a top ranked university
1-3 years of experience with cash equities strategies doing alpha research
Experience with trading in Asian markets. Familiarity with Asia market's distinctive characteristics such as stamp cost, financing, no short constraints etc is preferred.
Demonstrated ability to understand fundamental and event related data and experience with alternative data sources
Strong economic intuition and critical thinking
Product experience in statistical arbitrage strategies