📌 Project
Development of next-generation AI-driven pricing algorithms for trading systems.
The project combines quantitative research, machine learning, and trading technology, with a strong focus on deploying models directly into production, low-latency environments.
📌 What you will do:
◼ Design and implement AI/ML pricing models (deep learning, transformers, RL)
◼ Translate quantitative research into production-grade systems
◼ Build and maintain infrastructure for model training, backtesting, and deployment
◼ Process large-scale structured and unstructured data
◼ Optimize systems for performance and low latency
◼ Collaborate with quants, data scientists, and traders
📌 Requirements:
◼ Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or similar
◼ 2+ years of experience in Quantitative Development / Analytical Engineering or similar
◼ Strong Python skills (production-level)
◼ Hands-on experience with ML models (training → deployment)
◼ Solid background in math, statistics, numerical methods
◼ Experience working with large datasets and distributed systems
◼ Strong software engineering mindset
📌 Nice to have:
◼ Experience with low-latency systems (C++ / Rust)
◼ Experience with real-time data systems (Kafka)
◼ Familiarity with data warehouses (Snowflake, Redshift)
◼ Understanding of financial markets / trading systems
📌 What we offer:
• Remote or hybrid work setup
• Relocation support to Cyprus
• Health insurance
• 50% reimbursement for professional training, education, conferences
• Work in a highly professional and multidisciplinary team
• Team building and corporate activities
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