Senior Quant Developer

O tym stanowisku

Design, develop, test, and deploy quantitative trading and portfolio management solutions

Develop and maintain research, backtesting, and portfolio optimization frameworks

Analyze historical and real-time market data across multiple asset classes

Implement validation, simulation, and performance testing methodologies

Integrate machine learning models into quantitative workflows where applicable

Collaborate with engineering and quantitative teams to deliver production-grade solutions

Contribute to software architecture, code quality, automation, and operational excellence

Monitor and improve strategy performance, scalability, and system reliability

Participate in technical discussions, design reviews, and solution planning

Optimize data processing pipelines and analytical workflows for performance and scalability

REQUIREMENTS 5+ years of commercial software development experience

Strong Python development expertise

Hands-on experience with Pandas, Polars, NumPy, or similar data processing libraries

Experience building quantitative analytics, research, or trading systems

Strong knowledge of statistics, probability, and quantitative modeling techniques

Experience with backtesting frameworks and performance analysis

Understanding of portfolio construction and risk management concepts

Experience working with relational and time-series databases

Practical knowledge of PostgreSQL or equivalent databases

Experience with Git, Docker, and CI/CD practices

Strong analytical thinking and problem-solving skills

Upper-Intermediate or higher English level

WILL BE A PLUS

Experience with VectorBT, Backtrader, QuantConnect LEAN, or similar platforms

Exposure to machine learning frameworks such as PyTorch, XGBoost, or LightGBM

Knowledge of equities, futures, forex, or cryptocurrency markets

Experience with FIX protocol integrations

Exposure to Java or C++

Experience with cloud platforms and distributed systems

Background in institutional trading, fintech, or investment management solutions

PERSONAL PROFILE Ability to work independently

Ability to convey ideas, recommendations, and strategy clearly

Excellent verbal and written communication skills

Strong collaboration and teamwork abilities

Proactive and ownership-driven mindset

Strong attention to detail and analytical thinking

Are you passionate about building quantitative trading systems that combine advanced analytics, machine learning, and high-performance engineering? We are looking for a Senior Quant Developer to join a cutting-edge financial technology project focused on algorithmic trading and portfolio optimization. In this role, you will work remotely with international teams across Ukraine and Europe, contributing to scalable research and investment platforms used in data-driven financial environments. You will have an opportunity to work with modern quantitative technologies, large-scale market data, and production-grade engineering practices. We at Sigma Software offer the flexibility of remote collaboration, professional growth opportunities, and the chance to work on impactful fintech solutions together with experienced engineering and quantitative teams. CUSTOMER Our Customer is a fast-growing technology company developing AI-driven solutions for the financial services industry. The company specializes in quantitative research, algorithmic trading, portfolio optimization, and intelligent investment platforms. By combining cloud-native engineering, machine learning, and quantitative analytics, the Customer delivers scalable and high-performance financial solutions for modern trading environments. PROJECT The project focuses on the development and enhancement of quantitative trading and portfolio management platforms. The team builds scalable systems for market data processing, strategy research, backtesting, portfolio optimization, and performance analysis across multiple asset classes. The solution integrates advanced analytics and machine learning into production-grade investment workflows while emphasizing automation, reliability, and engineering excellence in systematic trading environments. Originally posted on Himalayas