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Chase · 3 months ago

Business Modeling - Applied AI ML Senior Associate

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Senior Level

Chase is seeking an Applied AI ML Senior Associate to join their Consumer Business Modeling team, which consists of a diverse group of analytics professionals. The role focuses on utilizing advanced analytics and quantitative modeling techniques to solve complex business problems and generate actionable insights from consumer data.

BankingFinancial Services

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

Mentor junior team members

Qualification

Machine LearningStatistical ModelingData AnalysisPythonBig DataCommunication SkillsProblem-Solving SkillsMentoring

Required

Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus

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)

Proficiency in at least one programming language is required, with Python preferred

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