Sigma Software is seeking a Senior Quant Developer to join a cutting-edge financial technology project focused on algorithmic trading and portfolio optimization. You will work on building scalable research and investment platforms that integrate advanced analytics, machine learning, and high-performance engineering to support data-driven financial environments.
Key responsibilities
- Design, develop, 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.
- Collaborate with engineering and quantitative teams to deliver production-grade systems.
- Optimize data processing pipelines and analytical workflows for performance and scalability.
Requirements
- 5+ years of commercial software development experience.
- Strong Python development expertise with libraries like Pandas, Polars, or NumPy.
- Hands-on experience building quantitative analytics, research, or trading systems.
- Strong knowledge of statistics, probability, and quantitative modeling techniques.
- Experience with Git, Docker, and CI/CD practices.
- Upper-Intermediate or higher English proficiency.
What we offer
- Opportunity to work on impactful fintech solutions in a fully remote environment.
- Professional growth opportunities within an experienced engineering team.
- Exposure to modern quantitative technologies and large-scale market data.
- Collaborative culture focused on engineering excellence and innovation.