Data Analyst Portfolio Manager

3 days ago


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

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:

  • Conducting quantitative research to identify trading opportunities and develop systematic trading strategies.
  • Building, testing, and implementing predictive models using statistical techniques and machine learning algorithms.
  • Analyzing large datasets to extract actionable insights and inform investment decisions.
  • Collaborating with portfolio managers and traders to refine strategies and assess market conditions.
  • Monitoring and evaluating the performance of quantitative models and making necessary adjustments.
  • Preparing detailed reports and presentations to communicate findings and recommendations to stakeholders.
  • Staying current with industry trends, technological advancements, and regulatory changes impacting the hedge fund landscape.

Qualifications

Essential 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

Prior Experience Preferred

  • 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).


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