Hybrid Python Quant Dev: Algo & Backtesting

Hybrid Python Quant Dev: Algo & Backtesting

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Scope AT Limited

At a Glance

  • Tasks: Design and refine quantitative models for trading using Python.
  • Company: Scope AT Limited, a leading firm in Central London.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Exciting projects in a fast-paced environment with great career potential.
  • Why this job: Join a dynamic team and shape the future of trading strategies.
  • Qualifications: Strong Python skills and a solid understanding of quantitative finance.

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

Scope AT Limited in Central London is seeking a Python Quant Dev to design and refine quantitative models for Cash Equities, Algo/Backtesting and Market Making.

You will implement trading logic in Python and collaborate with engineering teams to optimize execution strategies.

Ideal candidates will have a strong quantitative mindset, Python expertise, and experience with electronic trading strategies and market microstructure, plus familiarity with European equities and distributed data systems.

#J-18808-Ljbffr

Hybrid Python Quant Dev: Algo & Backtesting employer: Scope AT Limited

Scope AT Limited is an exceptional employer, offering a dynamic work environment in the heart of Glasgow's financial district. With a strong focus on employee development and a collaborative culture, team members are encouraged to grow their skills while working on innovative projects in equity swaps. The company also provides competitive benefits and a supportive atmosphere that values work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in the financial services sector.

Scope AT Limited

Contact Details:

Scope AT Limited Recruitment Team

We think you need these skills to ace Hybrid Python Quant Dev: Algo & Backtesting

Python Expertise
Quantitative Modelling
Algo Trading
Backtesting
Market Making
Trading Logic Implementation
Collaboration with Engineering Teams