Senior PM / Trader / Quant
Tanius TechnologyFull Time
Senior (5 to 8 years)
New York, New York, United States
Candidates must possess a Master's degree in Mathematics, Computer Science, or a related quantitative field, or equivalent experience, along with two years of experience in building algorithms, backtesting strategies, and calculating statistical measures for fixed income products, swaps, and interest rate derivatives. Proficiency in Python and experience with machine learning and optimization algorithms are also required.
The Associate Trader will develop quantitative techniques to inform financial decisions, design signal and backtesting strategies with Sharpe ratios, and calculate key statistical metrics to support data-driven investment decisions. Responsibilities include monitoring portfolio performance, analyzing return attributions, troubleshooting PnL discrepancies, enhancing feature selection and model building using machine learning, and designing and backtesting systematic strategies across various asset classes. The role also involves automating portfolio construction and investment decision-making, assessing dataset relevance and predictive power through statistical analysis, and utilizing programming languages and analytical tools like Python.
Global derivatives, volatility investment management
Capstone is a global, alternative investment management firm specializing in derivatives-based strategies and volatility, leveraging advanced technology to anticipate and harness the complexities of world markets.