Tech Internal Auditor Associate: Data Analytics & Controls

Tech Internal Auditor Associate: Data Analytics & Controls

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Execute audits and evaluate control environments using innovative technology.
  • Company: Join JPMorgan Chase & Co., a leader in the financial services industry.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with exposure to senior executives.
  • Why this job: Make an impact by enhancing control frameworks with cutting-edge audit technology.
  • Qualifications: Strong analytical skills and a passion for technology and data.

The predicted salary is between 50000 - 70000 Β£ per year.

JPMorgan Chase & Co. is seeking a Technology Internal Auditor - Associate in the ICB Internal Audit team, based in London. You will execute audits to evaluate control environments across ICB Technology, collaborate with stakeholders, and help develop a robust control framework using cutting-edge audit technology. You will apply data analytics and AI-enabled tools, communicate findings effectively, and build credibility with senior executives and audit colleagues while supporting continuous improvement.

Tech Internal Auditor Associate: Data Analytics & Controls employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

We think you need these skills to ace Tech Internal Auditor Associate: Data Analytics & Controls

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering