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.
Job 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
- 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
Skills Required
- 5+ years of commercial software development experience
- Strong Python development expertise
- Hands-on experience with Pandas, Polars, NumPy or similar 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
- Upper-Intermediate or higher English level
- Experience with VectorBT, Backtrader, QuantConnect LEAN or similar platforms
- Exposure to PyTorch, XGBoost, LightGBM or other ML frameworks
- 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
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
