Senior Quant Developer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• 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 • Experience with VectorBT, Backtrader, QuantConnect LEAN, or similar platforms (will be a plus) • Exposure to machine learning frameworks such as PyTorch, XGBoost, or LightGBM (will be a plus) • Knowledge of equities, futures, forex, or cryptocurrency markets (will be a plus) • Experience with FIX protocol integrations (will be a plus) • Exposure to Java or C++ (will be a plus) • Experience with cloud platforms and distributed systems (will be a plus) • Background in institutional trading, fintech, or investment management solutions (will be a plus)

🏖️ Benefits

• Flexibility of remote collaboration • Professional growth opportunities • Opportunity to work on impactful fintech solutions with experienced teams