As an Applied AI ML VP Lead in our CCB Business Modeling Center of Excellence Operations team you will work in a variety of business domains such as Cash Logistics, Collections, Service and Complaints, and IVR personalization and NLU. You will engage in a variety of business domains that leverage knowledge in at least one of the following areas:
- Time-Series (e.g. Seasonal Decomposition, ARIMAX, Vector Auto-Regression
- Optimization (e.g. MIP, Non-linear, Black-Box)
- Classification (e.g. Probit/Logit, Logistic Regression)
- Tree-Based Frameworks (e.g. Random Forest, Gradient Boosting)
- Deep Learning (e.g. CNN, LSTM, Transformers)
- Artificial Intelligence (e.g. Reinforcement Learning, Natural Language Understanding)
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.
- Mentor junior team members.
Required qualifications, capabilities, and skills:
- 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 SQL and 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.
Preferred qualifications, capabilities, and skills:
- 5+ years of related experience preferred.
- Familiarity with big-data environments (e.g. Hadoop, Spark).
- Model development experience on a cloud development platform.
- Banking & Financial Services background or experience.
Keyword: consumer%20banking
As an Applied AI ML VP Lead in our CCB Business Modeling Center of Excellence Operations team you will work in a variety of business domains such as Cash Logistics, Collections, Service and Complaints, and IVR personalization and NLU. You will engage in a variety of business domains that leverage knowledge in at least one of the following areas:
- Time-Series (e.g. Seasonal Decomposition, ARIMAX, Vector Auto-Regression
- Optimization (e.g. MIP, Non-linear, Black-Box)
- Classification (e.g. Probit/Logit, Logistic Regression)
- Tree-Based Frameworks (e.g. Random Forest, Gradient Boosting)
- Deep Learning (e.g. CNN, LSTM, Transformers)
- Artificial Intelligence (e.g. Reinforcement Learning, Natural Language Understanding)
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.
- Mentor junior team members.
Required qualifications, capabilities, and skills:
- 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 SQL and 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.
Preferred qualifications, capabilities, and skills:
- 5+ years of related experience preferred.
- Familiarity with big-data environments (e.g. Hadoop, Spark).
- Model development experience on a cloud development platform.
- Banking & Financial Services background or experience.
Keyword: consumer%20banking
