Quant Analytics Associate I — Data Insights & Automation

Aumni; Columbus (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Chase is seeking a Quant Analytics Associate I in Regulatory Operations to deliver business intelligence and optimize processes through automation. You will partner with experts to analyze data, uncover opportunities, and implement automation solutions that improve operational efficiency.

The role emphasizes storytelling with data, collaboration across teams, and hands-on work with data platforms and ML concepts. This is an in-office position with no visa sponsorship.

Qualifications

• 2+ years of experience with data tools and analytics.
• Demonstrated ability to tell compelling stories and communicate insights.
• Ability to synthesize data into actionable insights for management.

Responsibilities

• Interact with stakeholders to understand business needs and identify opportunities for data analysis and automation.
• Partner with subject matter experts to deliver automation solutions from idea to implementation.
• Conduct ad-hoc data analysis to uncover business intelligence for stakeholders.
• Lead simplification projects to improve efficiency through automation and self-service.
• Provide exploratory questions and insights to identify improvement opportunities.
• Show strong exposure to LLM, ML, AWS, Snowflake and API integration.
• Use data to tell compelling stories to stakeholders and drive actions.
• Collaborate with team and foster a strong team atmosphere.
• Explore better tools to strengthen skills.

Skills

Data analysis

Storytelling with data

Analytical thinking

Attention to detail

Self-directed

Urgency to deliver

Tools

Alteryx

Tableau

SAS

SQL/PLSQL

SharePoint

Python

Snowflake

AI/ML concepts

Job description

Chase is seeking a Quant Analytics Associate I in Regulatory Operations to deliver business intelligence and optimize processes through automation. You will partner with experts to analyze data, uncover opportunities, and implement automation solutions that improve operational efficiency.

The role emphasizes storytelling with data, collaboration across teams, and hands-on work with data platforms and ML concepts. This is an in-office position with no visa sponsorship.