Chase Modeling - Applied AI ML Senior Associate

Job Description Join 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 world’s 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. Outstanding 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 to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling). Strong 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. Preferred Qualifications, Capabilities, And Skills Familiarity with big-data environments (e.g. Hadoop, Spark). Model development experience on a cloud development platform. Banking & Financial Services background or experience. Proficiency in at least one programming language is required, with Python preferred. Ph.D. is a plus. About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. Equal Opportunity Employer / Disability / Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. #J-18808-Ljbffr JPMorganChase