LP Analyst

About the Company

LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community.

The firm supports limited partners, general partners, and advisors with data-driven, actionable analyses to support decision making and enhance returns.

LP Analyst’s founders have worked together for more than 10 years, advised on more than $50B in assets, and leverage backgrounds in investment banking, consulting, and secondary advisory.

For more information, contact Bill Farrell at bfarrell@lpanalyst.com or visit www.lpanalyst.com

Follow on Twitter:
@LPAnalyst

Connect on LinkedIn:
www.linkedin.com/in/billfarrell3
www.linkedin.com/in/katitapalamar

Listed Jobs

Company Name

LP Analyst

Job Title

Software Engineer

Job Description

**Job Title:** Software Engineer **Role Summary:** Design, develop, and maintain internal and client‑facing applications for a private‑asset analytics firm. Deliver clean, scalable code on Microsoft Azure, support CI/CD pipelines, and integrate AI/ML components to enable data‑driven analytics. Collaborate with senior developers, technical leads, and business stakeholders throughout the software development lifecycle. **Expectations:** - Produce high‑quality, well‑documented code aligned with team standards. - Participate in full SDLC, from requirement analysis through testing, deployment, and ops. - Continuously improve processes, adopt emerging technologies, and mentor peers where appropriate. **Key Responsibilities:** 1. Develop, test, and maintain business applications and integrations. 2. Write and review maintainable, documented code in C#/.NET. 3. Translate business requirements into effective technical solutions. 4. Conduct and receive constructive code reviews. 5. Contribute to and manage CI/CD pipelines for reliable releases. 6. Build and maintain cloud solutions using Microsoft Azure (App Services, Functions, Key Vault). 7. Troubleshoot and resolve application issues, escalating critical problems. 8. Support AI/ML model deployment and data‑automation pipelines. 9. Optimize applications across development, deployment, and operations. 10. Stay current on industry best practices and propose innovations. **Required Skills:** - 3–5 years of software engineering experience. - Proficiency in C#/.NET and SQL Server. - Experience with Microsoft Azure (App Services, Functions, Key Vault). - Strong understanding of relational databases; knowledge of non‑relational databases is a plus. - Version control with Git and familiarity with CI/CD and automated testing. - Solid grasp of software design patterns and principles. - Good problem‑solving and communication skills. - Python or other languages for AI/ML integration is a plus. - Experience integrating AI/ML models into applications, pipelines, or analytics platforms is a plus. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Authorization to work in the United States (no visa sponsorship). *Preferred:* Experience in financial services, asset management, or analytics platforms.

Dallas, United states

On site

24-02-2026