Quantitative Developer (AI-Driven Pricing)

CyprusRelocationRemoteHybridMiddle

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

Tech stack:

  • Python, TensorFlow / PyTorch, SQL

  • Distributed systems, large-scale data processing

  • Kafka (or similar), Snowflake / Redshift

  • C++ / Rust (optional)

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

Published on: 4/7/2026

FinDev

FinDev

Findev is a fintech software engineering team dedicated to building reliable, scalable, and high-performance financial technology solutions.

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