Quantitative Strategist and Researcher
3 days ago
We are seeking an experienced Quantitative Researcher/Analyst to join our team at Green Lane Talent Management.
This is an exciting opportunity to work with our clients across various geographies and contribute to the development of innovative trading strategies.
Main Responsibilities:
- Developing and implementing quantitative models to support trading strategies and improve portfolio performance.
- Conducting quantitative research to identify trading opportunities and develop systematic trading strategies.
- Collaborating with portfolio managers and traders to refine strategies and assess market conditions.
- 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.
Requirements
Essential Requirements
- 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.).
Desirable Requirements
Prior Experience Desirable
- 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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