Senior Software Engineer (Quantitative Developer)

Infinite Services; Warszawa; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Certification budget

Flexible work model

Private medical care

Sports card

Training opportunities

Knowledge-sharing environment

International projects

Job summary

Infinite Services in Warsaw‑based operations seeks a Senior Software Engineer (Quantitative Developer) to design AI‑driven pricing models for trading applications, merging real-time market data with ML into robust production systems.

You will collaborate with researchers, engineers, and traders to translate research into low‑latency trading software, with opportunities to grow within international projects and a flexible remote or hybrid work model.

Qualifications

• Bachelor’s or Master’s degree in a computational or scientific field.
• At least 2 years of experience in Analytical Software Engineering or Quantitative Development.
• Strong Python with TensorFlow or PyTorch; knowledge of C++ or Rust for low-latency is an advantage.
• Experience with data warehouses (Snowflake, Redshift) and real‑time data systems (Kafka).
• Experience building, training, and deploying large-scale models (DL, transformers, RL) for predictive or algorithmic use cases.
• Solid foundation in applied mathematics, statistics, and numerical methods.
• Strong understanding of software engineering, distributed systems, and performance optimization.
• Familiarity with market microstructure, pricing models, and trading systems.
• Excellent collaboration and communication across research, engineering, and business teams.

Responsibilities

• Develop and implement advanced pricing models powered by large-scale ML with real-time and historical data.
• Collaborate with researchers to deploy AI/ML models into production trading systems.
• Build and maintain model training, backtesting, and deployment pipelines for high-volume, low-latency processing.
• Analyze large datasets using SQL, Python, and distributed frameworks to extract features and improve models.
• Write clean, testable code for live trading environments and monitor drift, latency, and consistency.
• Partner with AI researchers, analysts, and traders to ensure models align with trading strategies.

Skills

Python

TensorFlow

PyTorch

C++

Rust

SQL

Kafka

Snowflake

Redshift

Distributed systems

Deep learning

Transformers

Reinforcement learning

Numerical methods

Market microstructure

Education

Bachelor’s or Master’s degree in Computational or Scientific field

Tools

Snowflake

Redshift

Kafka

Job description

Senior Software Engineer (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‑–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

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 of market microstructure, pricing models, and trading systems
• Ability to effectively collaborate across research, engineering, and business teams, with clear and concise communication

What’s in it for you?

• 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 — simple & transparent

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