Senior Quant Developer (Fintech)

TL;DR

Senior Quant Developer (Python/Fintech): Designing and deploying quantitative trading and portfolio management solutions with an accent on algorithmic trading, backtesting, and high-performance data processing. Focus on integrating machine learning models into production-grade investment workflows and optimizing data pipelines for scalability.

Location: Remote (Must be based in Ukraine or Europe)

Company

A technology company developing AI-driven solutions for the financial services industry, specializing in quantitative research, algorithmic trading, and intelligent investment platforms.

What you will do

• Design, develop, and deploy quantitative trading and portfolio management solutions.
• Build and maintain frameworks for research, backtesting, and portfolio optimization.
• Analyze historical and real-time market data across multiple asset classes.
• Integrate machine learning models into quantitative production workflows.
• Collaborate with engineering and quantitative teams to ensure software architecture and code quality.
• Optimize data processing pipelines and analytical workflows for performance and scalability.

Requirements

• 5+ years of commercial software development experience.
• Strong expertise in Python and data processing libraries (Pandas, Polars, NumPy).
• Hands-on experience building quantitative analytics, research, or trading systems.
• Strong knowledge of statistics, probability, and quantitative modeling techniques.
• Practical experience with PostgreSQL or equivalent relational and time-series databases.
• English: Upper-Intermediate (B2) or higher required.

Nice to have

• Experience with VectorBT, Backtrader, QuantConnect LEAN, or similar platforms.
• Exposure to ML frameworks such as PyTorch, XGBoost, or LightGBM.
• Knowledge of equities, futures, forex, or cryptocurrency markets.
• Experience with FIX protocol integrations, Java, or C++.
• Background in institutional trading or investment management solutions.

Culture & Benefits

• Remote work flexibility and flexible scheduling.
• Health and legal support.
• Continuous education and access to an active professional community.
• Exposure to a variety of technologies and diverse business domains.
• Sports and community activities.