Senior Python Engineer

Tasks

• Design and maintenance of scalable back-end systems and APIs that support quantitative research and trading automation
• Development and refinement of complex algorithms for algorithmic trading, optimization of financial models, and time series analysis
• Building high-performance data pipelines to process large-scale financial datasets from transactional feeds, SQL, and NoSQL databases
• Collaborate with engineers, researchers, and quant teams to translate complex, quantifiable requirements into technical solutions that are integrated into our trading infrastructure stack
• Proactively breaking down data, contributing to architecture development, conducting reviews and code reviews, and promoting clean code within the team
• A comprehensive contribution to improving the framework for continuous and successful problem-solving and promoting its adoption throughout the team

technology

• Work in a modern, Linux-based infrastructure where Python is the primary development language
• Interaction with a toolkit that includes C++, QuantLib, pandas, and our in-house data lake
• Access to a broad range of AI/ML practices that integrate state-of-the-art engineering solutions into research and trading workflows
• A seamless technology ecosystem that continuously incorporates new tools and examples to improve quantitative efforts

Requirements

Essential

• At least 7–10 years of professional experience in software development using an object-oriented language, with Python as the primary language
• Experience in building large-scale or AI/ML systems; proficient in data structures and algorithms
• Strong understanding of the core software/finance domain and the quantitative/research ecosystem
• Extensive experience in algorithm development, backtesting, and the execution of trading strategies
• Proficiency in Relational Databases and Data Management
• Excellent debugging and code review practices in systematic, data-driven development
• Proven track record of delivering high-impact projects in a quantitative or FinTech environment
• Ability to mentor and guide junior developers starting from the basics
• Excellent problem-solving and communication skills, with a proven track record of collaborating with quantitative teams as part of a self-managed squad

Advantageous

• Understanding of financial and/or market microstructure
• Familiarity with ML/AI development and optimization
• Experience with high-frequency trading systems or tick-level market data
• Proficiency in distributed computing or cloud-native architectures (AWS, GCP, Azure, Lambda, Kubernetes)
• Familiarity with Continuous Integration/Continuous Deployment (CI/CD) pipelines and Infrastructure as Code (IaC)
• Knowledge of advanced statistical methods, such as K-means, PCA, or gradient boosting
• Experience mentoring junior team members and fostering an engineering culture

We offer

• Key role in the development of groundbreaking quantitative trading technologies
• Collaboration with world-class system architects
• Access to a world-class set of trading tools and resources across global market hubs
• Experience transformat