Quant Developer - Python for HFT Tools in London

Quant Developer - Python for HFT Tools in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Enhance research frameworks and support the quantitative research team using Python.
  • Company: Join Tower Research Capital, a leader in high-frequency trading.
  • Benefits: Enjoy hybrid work, generous paid time off, and wellness perks.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Thrive in a fast-paced, innovative environment and make a real impact.
  • Qualifications: Strong Python skills and experience with statistical libraries required.

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

Tower Research Capital is seeking a Quant Developer to improve the research framework and support the quantitative research team in London. Successful candidates will have strong Python skills and experience with statistical libraries.

Our environment fosters collaboration, offering hybrid work opportunities, generous paid time off, and a range of wellness benefits.

If you thrive in a fast-paced, innovative setting, this role could be the perfect fit for you.

Quant Developer - Python for HFT Tools in London employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace Quant Developer - Python for HFT Tools in London

Python
Statistical Libraries
Quantitative Research
Collaboration
Fast-Paced Environment
Innovative Thinking
Hybrid Work Adaptability