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Quantitative Researcher
1 month ago
Join Travash as a Senior Quant Analyst and contribute to the development of cutting-edge quantitative research and portfolio optimization strategies. As a key member of our team, you will be responsible for designing and implementing advanced mathematical models to drive investment decisions.
Key Responsibilities:- Develop and maintain complex mathematical models for portfolio optimization, risk management, and asset allocation.
- Collaborate with cross-functional teams to integrate quantitative research into investment strategies.
- Design and implement data pipelines to collect and process large datasets for analysis.
- Stay up-to-date with industry trends and advancements in quantitative research and machine learning.
- Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance) or equivalent experience.
- Minimum 6 years of experience in quantitative research and portfolio optimization.
- Expertise in probability, statistical inference, time series forecasting, and machine learning.
- Proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn).
- Experience with cloud computing platforms (e.g., Azure) and data engineering principles.
- Experience in quantitative research applied to financial markets and investing.
- Experience with Black-Litterman and other top-down approaches, as well as hierarchical and bottom-up portfolio optimizations.
- Proficiency in cloud computing and data engineering.
At Travash, we value innovation, collaboration, and continuous learning. If you are a motivated and experienced quantitative researcher looking to make a meaningful impact, we encourage you to apply for this exciting opportunity.
