Senior Treasury Modelling & Analytics (Hybrid) in London

Senior Treasury Modelling & Analytics (Hybrid) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Manage crucial models for Treasury operations and support financial risk management.
  • Company: Join a dynamic team in a leading financial institution based in London.
  • Benefits: Enjoy a hybrid working model, offering flexibility and collaboration.
  • Other info: Great opportunity for career growth in a supportive environment.
  • Why this job: Make an impact in financial risk management while developing your analytical skills.
  • Qualifications: Strong analytical skills and proficiency in Python or SAS required.

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

This is seeking a Senior Treasury Analyst to join the Modelling & Analytics team in London. This role involves managing models crucial for Treasury operations and supports financial risk management.

The ideal candidate will demonstrate strong analytical skills and proficiency in Python or SAS, with a willingness to learn. The company offers a hybrid working model, ensuring flexibility and collaboration among team members.

Senior Treasury Modelling & Analytics (Hybrid) in London employer: Description This

Join a forward-thinking company in London that values flexibility and collaboration through its hybrid working model. As a Senior Treasury Analyst, you'll not only engage in meaningful work managing critical models for Treasury operations but also benefit from a supportive work culture that prioritises employee growth and development. With opportunities to enhance your analytical skills and proficiency in Python or SAS, this role offers a rewarding career path in a dynamic environment.

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Contact Details:

Description This Recruitment Team

We think you need these skills to ace Senior Treasury Modelling & Analytics (Hybrid) in London

Analytical Skills
Python
SAS
Financial Risk Management
Model Management
Willingness to Learn
Collaboration