Overview: We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We're looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you're collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that's revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Responsibilities: * Collaborate with product managers to define and prioritize analytics solutions for private capital use cases * Assist in designing workflows and dashboards for financial trend benchmarking, covenant tracking, and scenario analyses * Analyze fund and asset performance metrics (e.g., IRR, MOIC, DPI) and market trends to inform product features * Research covenant terms, portfolio risks, and asset-level scenarios for integration into analytics tools * Work with engineers to incorporate AI capabilities (e.g., data extraction, benchmarking automation, scenario modeling) into products * Validate AI-driven insights for accuracy and relevance to client needs * Gather client feedback to refine product features and ensure alignment with market demands * Support client onboarding by explaining analytics methodologies and use cases * Ensure solutions meet the needs of institutional clients (LPs, GPs) by addressing pain points like manual reporting inefficiencies, inconsistent data formats, and lack of reliable benchmarks Qualifications: * 1-3 years of experience in investment banking, private credit, financial analysis, or related roles. Exposure to private capital markets is a plus * Strong proficiency in Excel; familiarity with financial modeling and performance metrics (IRR, MOIC). Experience with data visualization tools (e.g., Tableau) or programming languages (e.g., Python) is a plus * Interest in leveraging AI/ML technologies to enhance financial analytics solutions. Prior exposure to AI tools is a bonus but not required * Strong analytical mindset; excellent communication skills; ability to work collaboratively across teams
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