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

1. Quick HR call to get to know you
2. Technical meeting with a Manager or Architect
3. Feedback & next steps