Enterprise Risk Manager, AI/Tech Risks β€” London

Enterprise Risk Manager, AI/Tech Risks β€” London

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Nscale

At a Glance

  • Tasks: Identify and mitigate AI/Tech risks in GPU cloud services.
  • Company: Nscale, a leader in risk management for innovative tech solutions.
  • Benefits: Competitive salary, comprehensive benefits, and full-time remote options.
  • Other info: Join a collaborative team with opportunities for professional growth.
  • Why this job: Shape the future of AI by managing critical risks in a dynamic environment.
  • Qualifications: Strong analytical skills and experience in risk management.

The predicted salary is between 63000 - 77000 Β£ per year.

Nscale is seeking an Enterprise Risk Manager to strengthen our risk management framework for GPU cloud services tailored for AI.

You will identify, assess, and mitigate risks while ensuring alignment with strategic objectives.

The role requires strong analytical capabilities, collaboration across teams, and the ability to communicate findings to senior management.

London-based, full-time with competitive benefits and UK eligibility.

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Enterprise Risk Manager, AI/Tech Risks β€” London employer: Nscale

At Nscale, we pride ourselves on fostering a culture of relentless innovation and accountability, making us an exceptional employer for those looking to make a meaningful impact in the AI sector. Our collaborative environment encourages personal growth and offers tailored progression plans, ensuring that every team member can thrive while contributing to cutting-edge technology. With a highly competitive compensation package and a commitment to human-first flexibility, Nscale is the ideal place for passionate individuals ready to shape the future of AI.

Nscale

Contact Details:

Nscale Recruitment Team

We think you need these skills to ace Enterprise Risk Manager, AI/Tech Risks β€” London

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development