Consumer & Community Banking – Data and Analytics – Operations Team – Applied AI ML Lead

myGwork
Published
1 June 2023
Location
Five Corners, Hudson County
Category
Job Type
Junior  

Description

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. Note: No relocation assistance is available for this role currently. This employer is a corporate member of myGwork - LGBTQ professionals, the business community for LGBTQ professionals, students, inclusive employers & anyone who believes in workplace equality.

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