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A leading financial firm is seeking a Quantitative Researcher to join their Asia office in Singapore. The role involves collaborating on alpha research and systematic equity strategies, requiring strong programming skills in Python and a quantitative background. Candidates should have 1-3 years of experience in cash equities strategies and familiarity with Asian market dynamics.
Quantitative Researcher, Equity
Job Description:
Quantitative Researcher as part of a collaborative London-based team, with a focus on systematic equity strategies.
Preferred Location:
Asia office (Singapore, Hong Kong, Tokyo)
Principal Responsibilities:
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.
Preferred Technical Skills:
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
Preferred Experience:
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
Highly Valued Relevant Experience:
Strong economic intuition and critical thinking
Product experience in statistical arbitrage strategies
Target Start Date:
As soon as possible