Consumer AI Modeling Team Applied AI ML Associate Sr at JPMorganChase

DescriptionJoin a team that consists of an intellectually diverse team of economists statisticians engineers and other analytics professionals focused on applied AI and quantitative modeling.As an Applied AI ML Senior Associate within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the worlds largest repositories of consumer data.Job Responsibilities:Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.Contribute to the full modeling lifecycle including defining the objective and key decision variables choosing appropriate methodologies performing advanced quantitative and statistical analysis of large datasets and communicating results.Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.Become a subject matter expert and trusted advisor in the statistical optimization and/or machine learning modeling discipline.Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.Required Qualifications Capabilities and Skills:Advanced degree in Statistics Data Science Engineering Computer Science Economics Operations Research Mathematics or equivalent quantitative field.At least 2 years of work experience after PhD or 3 years or more after Masters degree completionOutstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.Experience in developing machine learning optimization and/or statistical models and algorithms to solve real world problems (e.g. supervised and unsupervised learning such as Classification and Regression modelsMixed integer Linear Program Nonlinear Programming ).Proficiency in at least one programming language is required with PythonStrong analytical interpretive and problem-solving skills with demonstrated ability of thinking outside the box.Significant experience working with very large scale (structured and unstructured) data and proficiency in SQL and SparkSQL for querying data.Preferred Qualifications Capabilities and Skills:Hands on experience developing and deploying models on cloud environments ( (Spark and MLFlow) AWS (Sagemaker) or Azure (AI Studio and Kubernetes) or Google Cloud Platform ).Banking & Financial Services background or experience.Ph.D. is a plus.PySpark preferred.Required Experience:Senior IC Key Skills Hyperion,Acquisition,Asset,ABAP,Basic,Activex Employment Type : Full-Time Experience: years Vacancy: 1