Quant Analytics Sr. Associate - Digital

JPMorgan Chase & Co.•Columbus, OH

About The Position

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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team includes disciplines spanning data governance and strategy, reporting, data science, and machine learning, and partners with Technology on data and analytics infrastructure.

Requirements

  • At least 3 years of related experience.
  • Bachelor's degree in a quantitative or related field.
  • Proficiency in SQL, Python, and data visualization tools.
  • 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 and 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.

Nice To Haves

  • 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.

Responsibilities

  • Independently lead analytics initiatives and partnerships with key stakeholders and product groups, developing an understanding of business drivers, underlying data, and processes.
  • Design and deliver governed, scalable, self-service analytics capabilities so stakeholders can answer recurring business questions and identify trends, exceptions, risks, and 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 communicating actionable insights, conclusions, and recommendations; 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.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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