Senior Quant Analytics Lead - Data-Driven Operations

JPMorgan Chase; Columbus (OH); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase in Columbus, Ohio is looking for a candidate with strong statistical analysis skills and proficiency in SQL, Python, and Tableau to improve operational processes. Candidates should have at least 5 years of experience and a Bachelor's degree in a quantitative discipline.

This role includes building reports, developing analytics roadmaps, and synthesizing data for executive insights. A comprehensive benefits package is offered, including health care and retirement savings plans.

Qualifications

• 5+ years of experience in applying statistical methods using SQL and analytical tools like Alteryx, Python, and Tableau.
• Experience with visualization techniques for data analysis and presentation.
• Strong coding skills in Alteryx, SQL, Tableau, and Python.

Responsibilities

• Using data to transform operational processes that impact front-line specialists.
• Build a suite of reports for Leadership and employees to view relevant metrics.
• Develop a roadmap of advanced analytics initiatives.

Skills

Statistical methods

SQL

Alteryx

Python

Tableau

Mathematical/statistical skills

Education

Bachelor’s degree in a quantitative discipline

Tools

Azure

AWS

Job description

JPMorgan Chase in Columbus, Ohio is looking for a candidate with strong statistical analysis skills and proficiency in SQL, Python, and Tableau to improve operational processes. Candidates should have at least 5 years of experience and a Bachelor's degree in a quantitative discipline.

This role includes building reports, developing analytics roadmaps, and synthesizing data for executive insights. A comprehensive benefits package is offered, including health care and retirement savings plans.