As an Applied AI ML Senior Associate in our Consumer & Community Banking Business Modeling Center of Excellence team you will work in a variety of business domains such as Pricing, Branch and ATM Distribution Strategy, Business Forecasting, and Stress Testing. Members can also contribute to the development of cutting-edge infrastructure and automation as part of the Applied AI domain.

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:

• 3+ years of related experience preferred.
• 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.

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.

As an Applied AI ML Senior Associate in our Consumer & Community Banking Business Modeling Center of Excellence team you will work in a variety of business domains such as Pricing, Branch and ATM Distribution Strategy, Business Forecasting, and Stress Testing. Members can also contribute to the development of cutting-edge infrastructure and automation as part of the Applied AI domain.

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:

• 3+ years of related experience preferred.
• 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.

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.