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We are seeking a Senior Quantitative Software Engineer to bridge the gap between quantitative finance and production engineering systems. This role combines deep financial securities knowledge with backend software engineering expertise to build, optimize, and maintain the computational core of our managed account platform. The ideal candidate excels at translating complex financial models into efficient, production-grade C# code and can diagnose performance bottlenecks through rigorous code analysis and mathematical reasoning.
Job Responsibility:
Design and implement portfolio models, tax optimization algorithms, and rebalancing logic in C# and .NET Core
Translate quantitative financial strategies into clean, efficient, and testable backend code
Diagnose and resolve complex performance issues by analyzing algorithmic complexity and code efficiency
Collaborate with engineering teams to integrate quantitative logic into production-grade microservices
Build and optimize RESTful APIs that serve financial calculations and portfolio analytics
Work with diverse data systems including SQL Server, MongoDB, DynamoDB, and other AWS data services
Conduct code reviews with a focus on correctness, efficiency, and maintainability of quantitative algorithms
Profile and optimize backend services to ensure sub-second response times for compute-intensive operations
Write clear technical documentation in Confluence to explain complex financial logic to cross-functional teams