Quant Analytics Associate I: Data-Driven Automation & BI

JPMorgan Chase & Co.; Plano (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Quant Analytics Associate I in Regulatory Operations. You will analyze data to drive business intelligence and design automation to streamline processes.

The role focuses on collaborating with SMEs and management to implement impactful automation across multiple teams. You will work with LLM, ML, AWS, Snowflake, and API integrations to tell compelling stories with data and uncover efficiency opportunities.

Qualifications

• Experience automating processes using BI tools like Alteryx, SQL, and Python.
• Ability to analyze data and tell compelling stories with insights.
• 2+ years with Alteryx, Tableau, SAS, SQL/PLSQL, SharePoint, Python, Snowflake.
• Familiarity with AI/ML concepts and building LLM prompts.

Responsibilities

• Understand business needs with stakeholders and identify data opportunities.
• Collaborate with SMEs and management to deliver automation solutions from concept to implementation.
• Perform ad-hoc data analysis to uncover BI insights for stakeholders.
• Lead simplification projects to improve efficiency through automation and self-service.
• Provide exploratory questions and insights to identify improvements.
• Showcase data-driven narratives to help stakeholders see opportunities.
• Collaborate with team members and foster a strong team atmosphere.
• Explore new tools to improve job performance.

Skills

Alteryx

SQL

Python

Tableau

SAS

Snowflake

AI/ML concepts

LLM prompts

Tools

SharePoint

PL/SQL

SAS

Job description

JPMorgan Chase & Co. is seeking a Quant Analytics Associate I in Regulatory Operations. You will analyze data to drive business intelligence and design automation to streamline processes.

The role focuses on collaborating with SMEs and management to implement impactful automation across multiple teams. You will work with LLM, ML, AWS, Snowflake, and API integrations to tell compelling stories with data and uncover efficiency opportunities.