Infrastructure Software Engineer (Python)

Remote, with planned relocation to Limassol (Cyprus) or Zug (Switzerland), or Portugal;

Format: remote work with planned relocation;

Employment: fulltime, 5/2;

Experience: from 5 years;

Dear friends, we are a fundamental research-driven hedge fund with $2Bn 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.

As an Infrastructure Software Engineer, you will play a key role in designing, developing and deploying infrastructure for AI-powered trading models. You will work closely with financial analysts, ML engineers, and front end engineers to create necessary infrastructure and integrate machine learning algorithms into our trading systems. This is a high-impact role where your work will directly contribute to trading profits and overall fund performance.

Responsibilities:

• 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
  

Requirements:

• 5+ years of experience in software engineering, or a relevant field

• 3+ years relevant experience building large-scale infrastructure systems or similar experience

• 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

• Preferred Qualifications:

• Master’s degree or PhD in Computer Science, Engineering, or a related technical field

• Past experience leading complex technical projects or mentoring engineers
  

Conditions:

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

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