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.
------------------------------------------------------
- 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.
Senior Python Software Engineer employer: Hadteg.com
Hadteg.com provides a unique opportunity for professionals in sports data science to engage in meaningful work that directly impacts profitability. The company fosters a collaborative culture where employees can thrive in a hybrid working model, utilizing advanced technologies in their projects.
