Senior Analyst
Carlyle Group
- Location
- Washington, DC
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 15, 2026
Skills
About this role
Company Profile The Carlyle Group (NASDAQ: CG) is a global investment firm with $485 billion of assets under management, across 678 investment vehicles as of June 30, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments – Global Private Equity, Global Credit and Carlyle AlpInvest – and has deep expertise across industries, markets, and geographies. At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.
Position
Summary The Forward Deployed Product Engineer, Global Private Equity Technology is a hands-on engineering role responsible for building the business-critical applications and applied-AI capabilities that power Carlyle’s Global Private Equity (GPE) platform. The Senior Analyst works closely with stakeholders across the private equity business — including Deal Teams, Fund Management, and the broader GPE organization — to build solutions that deliver automation wins and drive measurable value in how deals are sourced, diligenced, executed, monitored, and grown. This is a builder’s role. The Senior Analyst owns defined features and components end-to-end — across backend services, modern frontends, data pipelines, and LLM-based workflows — working within the technical direction and engineering standards set by senior members of the GPE Product and Engineering organization. The ideal candidate pairs strong technical execution with developing product judgment, is comfortable working directly with business users, and is energized by turning Carlyle’s proprietary data and domain expertise into workflow-native capabilities. Unlike a traditional application engineer, the Senior Analyst is measured by business outcomes rather than tickets closed: understanding the problem behind the request, prototyping quickly against real data, hardening what works into production, and supporting adoption with the investment professionals who use it. In-Office Requirement: 4 days per week Primary Responsibilities Application Development & Delivery (45%) Build and maintain features and components of business-critical GPE applications — from design through implementation, deployment, and ongoing support. Develop full-stack functionality using Python on the backend and React / Next.js on the frontend. Build APIs, services, and data pipelines that connect GPE’s enterprise data platform (Snowflake), third-party market and portfolio data (e.g., Chronograph, FactSet, PitchBook), and internal systems. Prototype quickly against real data to validate use cases, then work with senior engineers to harden what works into secure, production-grade software. Meet the team’s standards for code quality, performance, security, and maintainability. Stakeholder Partnership & Solution Discovery (20%) Work closely with stakeholders across the private equity business — Deal Teams, Fund Management, and the broader GPE organization — to learn their workflows and identify automation