Data Analyst Portfolio Manager
3 days ago
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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