Backend Engineer (Python)

We are a fundamental research-driven hedge fund with $2 bn AUM, investing in developed markets across a broad range of industries, with a strong focus on Semiconductors, Metals & Mining, and Energy. Our investment strategy is rooted in a data-driven, top-down and bottom-up approach, allowing us to construct comprehensive sector models and identify long-term trends. We primarily invest in equities while enhancing risk-return profiles through options trading on equities and commodity futures. Our investment strategy is designed to generate positive absolute returns in all market conditions. We have consistently outperformed the S&P since the inception in 2020. Our company is expanding its use of artificial intelligence and machine learning to develop cutting-edge trading strategies. We leverage vast amounts of market data and state-of-the- art models to drive automated decision-making and optimize financial performance. Our team consists of top-tier engineers, quantitative researchers, and traders who work collaboratively to push the boundaries of AI-driven trading.

• Develop and deploy infrastructure for collecting financial data from multiple external sources and processing it with machine learning algorithms
• Design and develop Django backend server components to integrate backend ML systems and frontend Web UI
• Code using primarily Python
• Collaborate with financial analysts, ML engineers, and front end engineers to incorporate their innovations into backend systems

• 5+ years of experience in software engineering, or a relevant field
• 3+ years relevant experience building large-scale infrastructure systems or similar experience
• Proficiency in Python, and experience with Django
• Experience designing, analyzing and improving efficiency, scalability, stability, and reliability of various system resources
• Strong knowledge of data structures, algorithms, and software design principles
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Location: Remote, with planned relocation to Limassol (Cyprus) or Zug (Switzerland) .

Compensation: Individual compensation is determined by skills, qualifications, experience, and location.