Job description
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 transactions
Contribute to system architecture design for high availability and low-latency performance
Optimize and maintain an existing codebase for clarity, performance, and scalability
Work with distributed systems and databases for high-volume data ingestion and processing
Analyze 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 fields
Strong proficiency in Java, Kotlin, C#, or C++
Solid understanding of software design principles and architectural patterns
Experience with real-time systems, distributed computing, and large-scale data pipelines
Proficiency with relational and non-relational databases
Excellent problem-solving and debugging skills
Strong interpersonal and communication skills
Python experience is a plus
Familiarity with statistical modeling and machine learning is an advantage
Bachelor'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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.