Senior Python Software Engineer

Hadteg.com

London Borough of Islington

Hybrid

GBP 90,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Impact from day one
Flexible working
Remote first
Bonus
Latest tools & technologies
Industry leading packages

Job summary

Hadteg.com in London is seeking a quantitative engineer to design, develop and analyse high-performance trading and analytics platforms. You will work with quant teams to convert prototype models into scalable production systems, optimise for low latency and reliability.

You will have a strong Python background (NumPy, SciPy), experience in ML or advanced statistics, and a systems-focused mindset. The role offers remote-first and hybrid working models, with an elite, fast-paced culture and

Qualifications

  • Design, develop and analyse high-performance trading and analytics platforms.
  • Work with quant teams to convert prototype models into scalable production systems.
  • Optimise systems for low latency, scalability and reliability.

Responsibilities

  • Design, develop and analyse high-performance trading and analytics platforms
  • Work with quant teams to convert prototype models into scalable production systems
  • Optimise systems for low latency, scalability and reliability
  • Contribute to internal research projects exploring new metrics, analytical methods and innovative applications of sport data

Skills

Python
NumPy
SciPy
Probability
Optimization
Mathematical modelling
Multithreading
Machine Learning

Education

Math/Stats/CS background

Job description

If you enjoy solving complex problems, challenging conventional thinking and seeing your work directly influence trading performance, this is an opportunity to make a real difference from day one.

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  • Programming skills with Python (NumPy, SciPy)
  • Strong understanding of probability, optimisation and mathematical modelling
  • Understanding of high-performance computing concepts such as multithreading
  • Strong problem-solving mindset with an analytical, systems-focused approach
  • Exposure to Machine Learning or advanced statistical techniques
  • Background in Mathematics, Statistics, Computer Science or a similar

------------------------------------------------------

Day-to-Day Duties
  • Design, develop and analyse high-performance trading and analytics platforms
  • Work with quant teams to convert prototype models into scalable production systems
  • Optimise systems for low latency, scalability and reliability
  • Contribute to internal research projects exploring new metrics, analytical methods and innovative applications of sport data

------------------------------------------------------

  • An impact from day one
  • Fast decision-making with minimal bureaucracy
  • Freedom to research, experiment and implement your ideas
  • Learn directly from founders and leaders with elite HFT backgrounds
  • Flexible working with a collaborative, high-performance culture# Actually should close with
  • Supportive, collaborative culture that encourages learning and growth
  • A vibrant team culture with a shared passion for excellence
  • Access to the latest tools and technologies
  • Collaborative, flexible, remote first & hybrid working models
  • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.
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