Quant Modeling Machine Learning Associate - JP Morgan, Mumbai, Bengaluru

Job responsibilities Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into productionCollaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) Required qualifications, capabilities, and skills Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fieldsDeep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network CNN, RNN and Transformer, Clustering, Recommendation) as well as design and tuning procedures Polished and clear communication Preferred qualifications, capabilities, and skills Minimum 4 years of experience in developing and managing predictive risk models in financial industryDemonstrated experience in designing, building, and deploying production quality machine learning and deep learning models. Experience in interpreting deep learning models is a plus Minimum 4 years of experience and proficiency in coding (Python, Tensorflow or PyTorch, PySpark, SQL), familiarity with cloud services (AWS Sagemaker, Amazon EMR)Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is a plus Strong ownership and execution, proven experience in implementing models in production