Quantitative Developer

Join a team that builds solutions for global leaders We are an IT services company specializing in building cutting-edge data platforms for large enterprises worldwide. Our solutions help some of the biggest global corporations stay ahead in a fast-changing digital landscape. What makes us different? A team of experienced consultants — mostly senior-level experts Real impact on large-scale, business-critical systems A strong focus on quality, innovation, and knowledge sharing Join Infinite Services to shape data ecosystems for top global brands. We drive innovation, improve customer experiences, and empower decision-making with cutting-edge data platforms. At Infinite Services , you’ll work on impactful, international projects while enjoying real work–life balance in a collaborative and inspiring environment. About The Role We’re looking for an experienced Quantitative Developer; this role focuses on developing and deploying advanced AI-driven pricing models for trading applications, combining real-time market data with machine learning techniques. You will work at the intersection of research and engineering, turning quantitative models into high-performance production systems that support trading strategies. Key Responsibilities Develop and implement advanced pricing models powered by large-scale machine learning techniques, leveraging both real-time market data and historical insights to improve execution and price discovery. Work closely with quantitative researchers to transform experimental AI/ML models into efficient, production-ready trading systems with strong performance and reliability. Build and maintain robust systems for model training, backtesting, and deployment, while ensuring data pipelines are optimized for high-volume, low-latency processing. Process and analyze large, complex datasets (both structured and unstructured) using tools like SQL, Python, and distributed computing frameworks to extract meaningful features and improve model performance. Write clean, efficient, and testable code suitable for live trading environments; continuously monitor and enhance models to address issues such as drift, latency, and consistency. Partner with AI researchers, quantitative analysts, and traders to ensure models align with trading strategies and broader business objectives. Requirements Bachelor’s or Master’s degree in a computational or scientific field (e.g., Physics, Chemistry, Computer Science) At least 2 years of experience in Analytical Software Engineering or Quantitative Development (including academic or personal projects) Strong proficiency in Python (experience with frameworks such as TensorFlow or PyTorch); knowledge of C++ or Rust for low-latency systems is an advantage Experience working with data warehouses (e.g., Snowflake, Redshift) and real-time data systems (e.g., Kafka) Practical experience building, training, and deploying large-scale models (e.g., deep learning, transformers, reinforcement learning) for predictive or algorithmic use cases Solid foundation in applied mathematics, statistics, and numerical methods, particularly in model optimization and validation Strong understanding of software engineering principles, distributed systems, system architecture, and performance optimization in high-throughput environments Familiarity with market microstructure, pricing models, and trading systems Ability to effectively collaborate across research, engineering, and business teams, with clear and concise communication Benefits Certification & training budget to support your growth Flexible work model — remote or hybrid, your choice Access to private medical care & sports card Additional training opportunities Supportive, knowledge-sharing environment with senior experts Opportunity to grow within a high-impact, international project Hiring Process Quick HR call to get to know you Technical meeting with a Manager or Architect Feedback & next steps #J-18808-Ljbffr