Wintermute Trader Assessment Day | October 2026 in London

Wintermute Trader Assessment Day | October 2026 in London

London Full-Time 25650 - 31350 Β£ / year (est.) No working from home possible
Wintermute

At a Glance

  • Tasks: Participate in an engaging assessment day to showcase your trading skills and knowledge.
  • Company: Join a forward-thinking trading firm that values innovation and talent.
  • Benefits: Gain insights into the trading industry and network with professionals.
  • Other info: Opportunity to impress and secure a position in a dynamic environment.
  • Why this job: Kickstart your career in trading with hands-on experience and mentorship.
  • Qualifications: Passion for trading and a willingness to learn.

The predicted salary is between 25650 - 31350 Β£ per year.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

Wintermute Trader Assessment Day | October 2026 in London employer: Wintermute

Wintermute is an exceptional employer located in the heart of London, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Full Stack Engineer, you will enjoy the autonomy to make significant contributions while working with cutting-edge technologies in the fast-paced crypto trading sector. The company prioritises employee growth through continuous learning opportunities and encourages a supportive environment where your ideas can flourish.

Wintermute

Contact Details:

Wintermute Recruitment Team

We think you need these skills to ace Wintermute Trader Assessment Day | October 2026 in London

Artificial Intelligence Tools
Application Review
Resume Analysis
Data Processing
Human Judgment
Inconsistency Identification
Verification Signals