Quant Researcher

As a quantitative researcher at Winbold, you will have the opportunity to work on stock market data to research and develop quant and machine learning models for stock trading. Your responsibilities will include data science and analytics of stock market data, building models to identify correlations and causations, developing decision models and risk models for stock trading, and creating models that translate mathematical analysis into trade decisions. The ideal candidate must possess a strong background in advanced statistical analysis of large datasets and be well-versed in core quant concepts such as Bayesian inference, 2 phase stochastic optimization, and related techniques. Additionally, an advanced degree in math or statistics is preferred, and the ability to convert mathematical analysis into trade decisions is essential for success in this role. If you are eager to join our innovative startup and believe you are the right fit for this position, we encourage you to reach out to us directly by emailing madhu at winbolddatasystems.com. We are looking for someone who can start immediately and is comfortable working with complex mathematical analysis. Rest assured that all information provided will be handled confidentially in accordance with EEO guidelines.,