Quantitative Research

As a Quantitative Research Associate/Vice President within the Quantitative Research Group at our company, you will have the opportunity to partner with the Business to provide a comprehensive view and support activities across asset classes globally. Your role will involve critical assessments of the Firm's booking models of exotic structures, as well as the development of new models as necessary. Join our team in Mumbai and be part of transforming business practices through data science and quantitative methods. **Key Responsibilities:** - Perform large-scale analysis on proprietary datasets to solve unprecedented problems. - Identify new insights driving feature modeling for nuanced insights. - Build models end-to-end, from prototype to full-scale production. - Make real-world, commercial recommendations through effective presentations. - Utilize data visualization to communicate data insights and results. - Document and test new/existing models in collaboration with control groups. - Implement models in Python-based proprietary libraries. - Provide ongoing desk support. **Qualifications Required:** - Master's or Ph.D. in computer science, statistics, operations research, or related quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Experience in building models from prototype to full-scale production using ML/big data techniques. - Knowledge of developing models on cloud infrastructure. - Integration and utilization of LLM models for advanced model development. - Basic knowledge of financial instruments and pricing. - Proficiency in software design principles and development skills using C++, Python, R, Java, or Scala. - Previous practical experience in solving machine learning problems with open-source packages. - Strong communication skills (verbal and written) for presenting findings to non-technical audiences. **Additional Company Details:** Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable for this role.,