Senior Quant Analytics Lead, Data & AI

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking a Quant Analytics Sr. Associate who will independently lead analytics initiatives, transform complex data into actionable insights, and partner with stakeholders to drive data-driven decision making.

The role emphasizes governance, automation, and emerging AI capabilities to deliver scalable solutions. The position requires a 3+ year analytics background, a quantitative bachelor's degree, and proficiency in SQL, Python, and data visualization.

Qualifications

• 3+ years of related analytics experience.
• Bachelor's degree in a quantitative field is required.
• Proficiency in SQL, Python, and data visualization tools is required.

Responsibilities

• Independently lead analytics initiatives with key stakeholders and product groups, understanding business drivers and data.
• Design and deliver scalable, governed analytics capabilities for recurring questions and trend identification.
• Apply AI, automation, and advanced analytics to accelerate analysis and decision support.
• Analyze customer journeys, friction points, and program performance across channels.
• Prepare executive-ready presentations and lead analytics meetings with stakeholders.
• Support and enhance production analytics and reporting environments, troubleshooting issues.
• Ensure compliance with controls and regulatory requirements in analytics work.
• Identify opportunities to improve analytics processes and methodologies.
• Mentor junior analysts and contribute to knowledge sharing across the team.

Skills

SQL

Python

Data visualization

Analytical thinking

Stakeholder management

Education

Bachelor's degree in quantitative field

Job description

JPMorgan Chase & Co. in Columbus, OH is seeking a Quant Analytics Sr. Associate who will independently lead analytics initiatives, transform complex data into actionable insights, and partner with stakeholders to drive data-driven decision making.

The role emphasizes governance, automation, and emerging AI capabilities to deliver scalable solutions. The position requires a 3+ year analytics background, a quantitative bachelor's degree, and proficiency in SQL, Python, and data visualization.