Chase is looking to solve complex and multi-faceted business problems in the consumer business modeling domain using applied AI and quantitative modeling.
Requirements
- 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 models,Mixed integer Linear Program, Nonlinear Programming ).
- Proficiency in at least one programming language is required, with Python
- Significant experience working with very large scale (structured and unstructured) data and proficiency in SQL and SparkSQL for querying data.
- Hands on experience developing and deploying models on cloud environments (e.g.Databricks (Spark and MLFlow), AWS (Sagemaker), or Azure (AI Studio and Kubernetes) or Google Cloud Platform ).
- PySpark preferred.
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.
Other
- 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 completion
- Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
- Ph.D. is a plus.
- Banking & Financial Services background or experience.
