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Quantitative Researcher/ Analyst

1 month ago

Hong Kong Island, Hong Kong SAR China Green Lane Talent Management Full time

We are seeking a highly motivated Quantitative Researchers/Analysts to join our hedge fund clients across geographies, including HK, Singapore, London, and the US.

The ideal candidates will have a strong background in quantitative analysis, programming, and financial markets. As QR/QAs you will be responsible for developing and implementing quantitative models to support trading strategies and improve portfolio performance.

Key Responsibilities

  • Conduct quantitative research to identify trading opportunities and develop systematic trading strategies.
  • Build, test, and implement predictive models using statistical techniques and machine learning algorithms.
  • Analyze large datasets to extract actionable insights and inform investment decisions.
  • Collaborate with portfolio managers and traders to refine strategies and assess market conditions.
  • Monitor and evaluate the performance of quantitative models and make necessary adjustments.
  • Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders.
  • Stay current with industry trends, technological advancements, and regulatory changes impacting the hedge fund landscape.

Qualifications

  • PhD or Master's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, or a related field.
  • At least 3 years of experience as a quantitative analyst or researcher, preferably on the buy-side.
  • Strong programming skills in Python, R, or C++.
  • Proficiency in data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with financial modeling and statistical analysis.
  • Familiarity with trading strategies and financial instruments (equities, derivatives, etc.).

Preferred Qualifications

  • Previous experience in a quantitative research or trading role at a hedge fund or financial institution.
  • Knowledge of machine learning techniques and their application in finance.
  • Experience with data visualization tools (e.g., Tableau, Matplotlib).

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Finance and Analyst

Industries: Investment Management

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