Director, Financial Systems Engineering (Product & Platform)

With over 30 years of proven expertise across Private Equity, Credit, and Real Assets in various regions and industries, we are known for our integrated businesses, our strong investment performance, our value-oriented philosophy, and our people. We are seeking a Director, Financial Systems Engineering (Technical Product Lead) to partner with Finance and Global Operations in building and evolving mission-critical accounting, data, and workflow platforms. This role combines hands-on full stack engineering with technical product ownership and platform leadership. You will work directly with accounting and operations stakeholders to translate complex business and data processes into scalable, high-performance systems, while leading architecture decisions and overseeing a distributed contractor team. This is a high-impact role for a senior engineering leader who thrives at the intersection of product, technology, and business execution. Primary Responsibilities Design, develop, and maintain high-quality Python applications and backend systems. Build and maintain the front-end of web applications, ensuring seamless user experiences and robust performance. Work with relational and non-relational databases to ensure high availability, scalability, and performance. Develop and optimize asynchronous applications to enhance system performance and efficiency. Collaborate with cross-functional teams to design, implement, and improve both back-end and front-end system architecture. Implement best practices for cloud infrastructure management, with a focus on Azure (preferred, but not mandatory). Troubleshoot, optimize, and ensure the reliability of distributed systems. Participate in code reviews and mentor junior engineers to foster a culture of continuous learning and improvement. Stay up-to-date with emerging technologies and best practices, and incorporate them into system designs.

Qualifications & Experience 9+ years of experience of software development Strong proficiency in Python and experience building scalable backend applications. Solid understanding and hands-on experience with relational (e.g., MySQL, PostgreSQL, MS SQL, Snowflake) and non-relational (e.g., MongoDB) databases. 2+ years of hands-on experience using AI-assisted development tools in real-world environments, for example: Using tools such as Claude, ChatGPT, GitHub Copilot, Cursor, Sourcegraph Cody (or similar) to design, write, refactor, and review production code and tests. Applying AI tools to improve developer productivity through workflows such as code generation, debugging, documentation, analysis, or automation (without requiring experience building or training LLMs). Familiarity with cloud infrastructure, with experience in deploying and managing applications in the cloud (Azure is a plus). Experience with designing … #J-18808-Ljbffr