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Salary
$129k – $252k per year (Estimated)
Location
In office (Columbus)
Seniority
Architect
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Join a team where you can build AI-driven analytics solutions that turn complex data into clear, actionable insights. In Data Analytics & Reporting Team (DART) you’ll elevate reporting, develop modern apps and platforms, and help businesses make smarter decisions.

As a Quant Analytics Manager - AI & Analytics Solutions Developer within DART, you will be a part of a team of Tableau and data developers where you will split time between supporting the team, elevating our reporting and analytics capabilities, and delivering individual solutions that unlock new ways to provide data and insights to our customers. You will be passionate about leveraging AI, advanced analytics, and modern application development to push the boundaries of our existing technology stack. You will develop robust web platforms, custom applications, and dynamic reports, that empower our businesses to make informed decisions and optimize performance. You will leverage advanced technology and Big Data tools and transform complex data into clear, impactful intelligence enabling teams to identify trends, uncover opportunities, and streamline processes for greater customer satisfaction, employee engagement, and profitability.

Job Responsibilities

  • Mentor and assist Tableau/data developers in integrating advanced analytics, AI, and custom visualizations into reporting solutions.
  • Enable the team to leverage Python, AI/ML, and automation within Tableau, Alteryx, AWS, and Databricks.
  • Research and introduce new technologies, frameworks, and best practices to elevate reporting and analytics delivery.
  • Develop reusable components, templates, or scripts that enhance team productivity and solution quality.
  • Design and build innovative applications, web solutions, or AI-powered tools that deliver data in new, impactful ways.
  • Develop and deploy custom LLM models, generative AI solutions, or automation tools to improve data delivery and user experience.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions
  • Ensure solutions are scalable, secure, and aligned with best practices in cloud environments (AWS).
  • Mentor and upskill team members in new technologies and approaches and excellent problem-solving, communication, and collaboration skills.

Required Qualifications, Capabilities, and Skills

  • Experience integrating AI/ML models and advanced analytics into reporting platforms and experience with cloud environments and DevOps practices
  • Strong application/web development skills (e.g., Flask, Django, Streamlit, React, or similar) and familiarity with LLMs, generative AI, and automation tools (Co-Pilot, VSCode, LLM Suite).
  • Curiosity, creativity, and imagination with a passion for data analysis, continuous learning, and professional development.
  • Demonstrated ability building visually compelling, user-friendly applications
  • Experience with web hosting and deploying data-driven applications.
  • Experience with API development and integration.

Preferred Qualifications, Capabilities, and Skills

  • Strong understanding of data visualization principles and experience building interactive dashboards. Knowledge of data visualization best practices and advanced Tableau features.
  • Prior work in financial services or regulated environments.
  • Advanced proficiency in Tableau, Python, and data engineering tools (Alteryx, AWS, Databricks).
  • Bachelor’s degree in computer science, Data Science, Engineering, or related field (or equivalent experience).

This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.

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