London-based Legal & Regulatory Research Director

London-based Legal & Regulatory Research Director

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Crains New York

At a Glance

  • Tasks: Lead research on laws affecting contingent work and guide clients on compliance.
  • Company: Join a leading industry analyst firm in the heart of London.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with a global team and support exciting conferences.
  • Why this job: Make a real impact on legal research in a dynamic global environment.
  • Qualifications: Strong background in legal research and knowledge of employment regulations.

The predicted salary is between 80000 - 100000 Β£ per year.

Staffing Industry Analysts (SIA) in London seeks a Legal & Regulatory Research Director to lead research on laws and regulations affecting contingent work. You will guide clients on employment, data privacy, AI, immigration, and compliance across jurisdictions with a focus on European issues.

Based in London with hybrid work, you will report to the VP of Research and collaborate with a global team to produce quarterly Legal Updates for Americas, EMEA and APAC, while supporting conferences.

London-based Legal & Regulatory Research Director employer: Crains New York

SIA is an exceptional employer, offering a dynamic work environment in the heart of London that fosters collaboration and innovation. With a strong commitment to employee growth, SIA provides opportunities for professional development through engaging research projects and participation in global conferences. The company's culture values integrity and teamwork, making it an ideal place for legal professionals passionate about shaping the future of workforce solutions.

Crains New York

Contact Details:

Crains New York Recruitment Team

We think you need these skills to ace London-based Legal & Regulatory Research Director

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