We're looking for a Senior Software Engineer to partner directly with front-office trading and portfolio management. You'll design, build, and operate robust, scalable systems that power portfolio and risk analytics, order/trade lifecycle processing, and data-driven investment strategies. You'll work closely with portfolio managers, quantitative analysts, and product partners to deliver technology that creates tangible value in capital markets.
Responsibilities:
• Design and implement end-to-end technology solutions in an Agile environment, collaborating with business and technical partners.
• Leverage AWS cloud services to build scalable, cloud-native applications aligned with long-term architecture goals.
• Manage structured and unstructured data, ensuring accessibility, accuracy, and usability across various business functions.
• Identify and resolve data issues, exceptions, and inconsistencies while improving data quality and reliability.
• Build and maintain CI/CD pipelines, automated tests, and infrastructure-as-code for efficient deployment.
• Ensure system performance, reliability, and scalability across mission-critical applications.
• Drive engineering excellence through coding best practices, technical mentorship, and peer collaboration.
Mandatory Skills Description:
• 8+ years of experience with Python for backend development and data processing
• 3+ years working with relational databases (e.g., PostgreSQL, MySQL)
• 3+ years of hands-on experience with MongoDB
• 3+ years developing and deploying systems on AWS
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
Nice-to-Have Skills Description:
• Familiarity with data pipelines, data lakes, and event-driven architectures
• Experience with containerization (e.g., Docker, Kubernetes)
• Working knowledge of DevOps practices and tools such as Terraform, GitHub Actions, or Jenkins
• Exposure to quantitative models, financial data, or multi-asset strategies
• Comfortable working in fast-paced, regulated environments with high-performance expectations