InfoSec Manager – Hybrid FinTech, ISO 27001 & DORA

InfoSec Manager – Hybrid FinTech, ISO 27001 & DORA

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Wealth Dynamix

At a Glance

  • Tasks: Lead information security governance and compliance for a fast-growing FinTech.
  • Company: Wealth Dynamix, an innovative and rapidly expanding FinTech in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and excellence in financial technology.
  • Why this job: Make a real impact on security in the financial sector while collaborating with top professionals.
  • Qualifications: Experience in information security management and knowledge of ISO 27001 & DORA.

The predicted salary is between 60000 - 80000 Β£ per year.

Wealth Dynamix, a fast-growing Fin Tech, is seeking an Information Security Manager in London.

You will own the information security governance, risk and compliance programme, including the ISMS, client security assurance, policy framework and incident governance.

You will work with Legal, Product, Operations and senior leadership to meet regulatory and client security expectations. This role reports to the COO and board.

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InfoSec Manager – Hybrid FinTech, ISO 27001 & DORA employer: Wealth Dynamix

Wealth Dynamix is an exceptional employer located in the heart of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with ample opportunities for career progression in the fast-paced FinTech sector. The company values work-life balance and provides a supportive environment where team members can thrive and contribute to meaningful projects.

Wealth Dynamix

Contact Details:

Wealth Dynamix Recruitment Team

We think you need these skills to ace InfoSec Manager – Hybrid FinTech, ISO 27001 & DORA

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