OUR SERVICES
PORTFOLIO MANAGEMENT
No management fees, only profit-sharing—your success is our priority. Choose from our range of strategies, designed for everyone from retail to professional investors, and benefit from our sophisticated trading techniques and transparent fee structure.
ALGORYTHMIC TRADING
Automated strategy execution with our advanced, in-house developed algorithms, leveraging AI and machine learning. Available for professional clients, our AT solutions are designed for optimal price, timing, and volume performance. Plus, access markets directly with our low-latency, scalable Direct Electronic Access.
NEWSROOM
Skanestas Runs the Limassol Marathon
Skanestas Investment - Official Participant in the 5km Corporate Race at the Limassol Marathon Dear friends, We are excited to announce that the Skanestas Investment team is participating in the corporate race at the Limassol…
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Embracing Flexibility: Skanestas’s Evolution from Office-Only to a Global Workforce
Anna Lyamina, HR Director, Skanestas In the dynamic world of algo-trading, safeguarding commercial and algorithmic confidentiality is crucial. For a long time, this necessity shaped Skanestas’s approach to work arrangements, keeping our operations strictly…
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Changes in the Agreement for the provision of investment and ancillary services – November 2022
We would like to inform you that Skanestas has updated the Agreement for the provision of the investment and ancillary services (the Agreement) and the Terms and Conditions for the provision of the investment and…
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A WORD FROM CEO
Skanestas Investments Eyeing Future with Key Milestones
Our main principle is that we try to treat our customers in a way we would like to be treated.
Our focuses are portfolio management services and structured solutions for the customers.
Portfolio management is based on the profit-sharing model, where scaled performance fee is charged on the profits, subject to a hurdle rate and a high watermark.
Read the full interview at Finance Magnates
CAREERS
Data Engineer – Market Data
Design and implementation of scalable data processing systems using Python and other programming languages such as Golang, Rust, or Scala. A degree in computer science or engineering is required; experience with Python and familiarity with Golang, Rust, Scala; big data tools (Hadoop, Spark, Kafka) and databases (SQL, NoSQL); data management and stream processing.
Quantitative Analyst
Development and implementation of profitable trading strategies. You will work with cutting-edge models and algorithms, conduct in-depth market analysis, and participate in team research projects. A minimum of 2 years of experience in developing systematic trading strategies and excellent knowledge in statistics and programming in Python/Scala are required.
DevOps Engineer
Seeking Experienced DevOps Engineer with a strong background in Linux administration, scripting, databases, and programming languages like Python, Golang, and Rust. Adept at designing and implementing scalable data ingestion pipelines, large-scale data processing systems, and analytical tools. Skilled in ensuring data accuracy, integrity, and security through efficient coding, testing, and monitoring practices. Collaborative team player with a proven ability to work with cross-functional teams to optimize IT infrastructure and development processes.
