Quant Analytics Sr. Associate - Digital

As a Quantitative Data & Analytics Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will independently lead analytics initiatives that transform complex data into actionable insights and scalable solutions. You will partner with key stakeholders to understand business needs, solve complex analytical problems, and develop governed analytics capabilities that improve decision-making and business outcomes. The role combines hands-on analytics, stakeholder partnership, automation, and emerging AI capabilities to deliver sustainable solutions while maintaining strong data quality, controls, and regulatory standards. Job Responsibilities: Independently lead analytics initiatives and partnerships with key stakeholders and product groups, developing a strong understanding of business drivers, underlying data, and processes. Design and deliver governed, scalable, self-service analytics capabilities that enable stakeholders to independently answer recurring business questions and proactively identify trends, exceptions, risks, and business opportunities. Apply approved AI, automation, and advanced analytics capabilities to accelerate analysis, automate repeatable activities, and improve decision support. Analyze interactions across a variety of channels to understand customer journeys, friction points, and program performance. Prepare and deliver executive-ready presentations that communicate actionable insights, key conclusions, and recommendations, and lead regularly scheduled analytics meetings with stakeholders. Support and enhance the team's production analytics and reporting environment, including troubleshooting issues, responding to stakeholder questions, and implementing enhancements. Ensure compliance with established controls and regulatory requirements across analytics activities. Identify and implement opportunities to improve analytics processes, methodologies, and solutions. Mentor junior analysts, share analytical expertise, and contribute to knowledge development across the broader team. Required Qualifications, Skills and Capabilities: 3+ years of related experience. Bachelor's degree in a quantitative or related field required. Proficiency in SQL, Python, and data visualization tools. Demonstrated ability to independently investigate and solve complex business and data problems, exercise sound analytical judgment, think creatively, and drive quality solutions through implementation. Strong project management skills with the ability to manage multiple projects simultaneously. Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods. Strong data management skills, including data quality, validation, and organization. Effective written and verbal communication skills. Strong interpersonal skills, including adaptability, emotional intelligence, and conflict resolution. Preferred Qualifications, Skills and Capabilities: Experience applying AI-assisted development, automation, or emerging analytics technologies to improve analytical workflows and decision support. Knowledge of API integration. Experience delivering analytics solutions using Agile methodologies, including Scrum or Kanban. Knowledge of financial services, risk, controls, or regulatory environments preferred.