Business Analytics Analyst - Data Science and Modeling

Role Overview: You will be joining the Data Science and Modeling team of North America Consumer Bank as a Business Analytics Analyst 2. In this role, you will report to the AVP / VP leading the team. The Next Gen Analytics (NGA) team, a part of the Analytics & Information Management (AIM) unit, will focus on client-centric analytic solutions to business problems, owning and delivering complex analytic projects, and being a domain expert in various fields like customer acquisition, retention, product development, pricing optimization, and digital journey. You will work with the latest modeling, machine learning, and deep learning algorithms to build predictive models and implement solutions for a wide range of business problems. Key Responsibilities: - Work with large and complex datasets using tools like Python, PySpark, SQL, Hive, etc. to build Deep learning/generative AI solutions for business requirements. - Design, fine-tune, and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG), and model fine-tuning. - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, utilizing deep learning/generative AI algorithms and data visualization techniques. - Specialize in marketing, risk, digital, and AML fields, applying Deep learning & generative AI models to innovate in these domains. - Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models and traditional methods. - Ensure compliance of models with Citi standards by working with model governance & fair lending teams. - Assess risks when making business decisions to safeguard Citigroup, its clients, and assets, and drive compliance with applicable laws, rules, and regulations. Qualifications Required: - Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. - Strong communication skills to translate technical thoughts to a larger audience and influence peers and senior management. - Strong project management skills with the ability to coach and mentor juniors. - Always up to date with the latest modeling community use cases, machine learning, and deep learning algorithms to share knowledge within the team. (Note: The additional details of the company were not present in the provided job description.) Role Overview: You will be joining the Data Science and Modeling team of North America Consumer Bank as a Business Analytics Analyst 2. In this role, you will report to the AVP / VP leading the team. The Next Gen Analytics (NGA) team, a part of the Analytics & Information Management (AIM) unit, will focus on client-centric analytic solutions to business problems, owning and delivering complex analytic projects, and being a domain expert in various fields like customer acquisition, retention, product development, pricing optimization, and digital journey. You will work with the latest modeling, machine learning, and deep learning algorithms to build predictive models and implement solutions for a wide range of business problems. Key Responsibilities: - Work with large and complex datasets using tools like Python, PySpark, SQL, Hive, etc. to build Deep learning/generative AI solutions for business requirements. - Design, fine-tune, and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG), and model fine-tuning. - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, utilizing deep learning/generative AI algorithms and data visualization techniques. - Specialize in marketing, risk, digital, and AML fields, applying Deep learning & generative AI models to innovate in these domains. - Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models and traditional methods. - Ensure compliance of models with Citi standards by working with model governance & fair lending teams. - Assess risks when making business decisions to safeguard Citigroup, its clients, and assets, and drive compliance with applicable laws, rules, and regulations. Qualifications Required: - Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. - Strong communication skills to translate technical thoughts to a larger audience and influence peers and senior management. - Strong project management skills with the ability to coach and mentor juniors. - Always up to date with the latest modeling community use cases, machine learning, and deep learning algorithms to share knowledge within the team. (Note: The additional details of the company were not present in the provided job description.)