Senior Software Engineer
We are looking for a Senior Software Engineer with strong algorithmic and data processing expertise to join a global team working on a complex trade surveillance system in the financial sector. The project focuses on batch and real-time analysis of trading data, leveraging advanced algorithmic models to detect fraud, manipulation, and other compliance breaches.
You will work alongside quantitative analysts, compliance specialists, and other engineers to build, maintain, and scale a high-throughput, low-latency system for global markets.
Key Responsibilities:Design and implement algorithms for real-time and batch monitoring of financial transactions Collaborate with data scientists and compliance experts to optimize detection modelsfinancial transactionsContribute to system architecture design for high availability and low-latency performanceOptimize and maintain an existing codebase for clarity, performance, and scalabilityWork with distributed systems and databases for high-volume data ingestion and processingAnalyze performance bottlenecks and improve system reliability
Requirements:5+ years of professional experience in backend or algorithmic development At least 3 years working with algorithms in financial/trading systems or related fieldsStrong proficiency in Java, Kotlin, C#, or C++Solid understanding of software design principles and architectural patternsExperience with real-time systems, distributed computing, and large-scale data pipelinesProficiency with relational and non-relational databasesExcellent problem-solving and debugging skillsStrong interpersonal and communication skillsPython experience is a plusFamiliarity with statistical modeling and machine learning is an advantageBachelor's degree in Computer Science, Mathematics, or related field (Master’s or PhD is a plus)
About the project:
You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.
This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.
Apply Now
You will work alongside quantitative analysts, compliance specialists, and other engineers to build, maintain, and scale a high-throughput, low-latency system for global markets.
Key Responsibilities:Design and implement algorithms for real-time and batch monitoring of financial transactions Collaborate with data scientists and compliance experts to optimize detection modelsfinancial transactionsContribute to system architecture design for high availability and low-latency performanceOptimize and maintain an existing codebase for clarity, performance, and scalabilityWork with distributed systems and databases for high-volume data ingestion and processingAnalyze performance bottlenecks and improve system reliability
Requirements:5+ years of professional experience in backend or algorithmic development At least 3 years working with algorithms in financial/trading systems or related fieldsStrong proficiency in Java, Kotlin, C#, or C++Solid understanding of software design principles and architectural patternsExperience with real-time systems, distributed computing, and large-scale data pipelinesProficiency with relational and non-relational databasesExcellent problem-solving and debugging skillsStrong interpersonal and communication skillsPython experience is a plusFamiliarity with statistical modeling and machine learning is an advantageBachelor's degree in Computer Science, Mathematics, or related field (Master’s or PhD is a plus)
About the project:
You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.
This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.
Apply Now