Hybrid Capital Markets AI Lead – Associate Director

Hybrid Capital Markets AI Lead – Associate Director

Full-Time 69300 - 84700 Β£ / year (est.) Home office (partial)
Datatech Analytics

At a Glance

  • Tasks: Lead the development of advanced AI solutions for finance and capital markets.
  • Company: Datatech Analytics, a leader in AI innovation based in London.
  • Benefits: Hybrid work setup, competitive salary, and opportunities for professional growth.
  • Why this job: Shape the future of finance with cutting-edge AI technology.
  • Qualifications: Extensive AI engineering experience and a strong track record in complex systems.

The predicted salary is between 69300 - 84700 Β£ per year.

Datatech Analytics in London is seeking a Senior AI Engineer Manager or Associate Director to lead the development of sophisticated AI solutions tailored for the financial services and capital markets sectors. This role requires extensive experience in AI engineering and a proven track record delivering enterprise-grade systems in complex environments.

Based in London with a hybrid work setup, you will oversee the design and implementation of AI systems and collaborate with cross-functional teams.

Hybrid Capital Markets AI Lead – Associate Director employer: Datatech Analytics

Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.

Datatech Analytics

Contact Details:

Datatech Analytics Recruitment Team

We think you need these skills to ace Hybrid Capital Markets AI Lead – Associate Director

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